havBpNet:J

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Index of all Fields and Methods

A

AddLayer(int, havBpNode[]). Method in class havNN.havBpNet.havBpNodeList: Add references to the nodes in a layer.

C

CalculateError(). Method in class havNN.havBpNet.havBpHermiteNode: Calculate node's error.
CalculateError(). Method in class havNN.havBpNet.havBpHtanNode: Calculate node's error.
CalculateError(). Method in class havNN.havBpNet.havBpLinearNode: Calculate node's error.
CalculateError(). Method in class havNN.havBpNet.havBpSigmoidNode: Calculate node's error.
CalculateError(). Method in class havNN.havBpNet.havBpSinNode: Calculate node's error.
CalculateMean(). Method in class havNN.havData.havTdata: Calculate the Means for both INPUT and EXPECTED patterns.
CalculateParms(). Method in class havNN.havData.havTdata: Calculate Mean and Standard Deviation values.
CalculateStdDev(). Method in class havNN.havData.havTdata: Calculate the standard-deviations for both the input and expected pattern elements of all patterns in the data set.
CalculateUpdates(). Method in class havNN.havBpNet.havBpLayer: This method will perform the error calculation and calculate input weight changes for each node in the layer.
CalculateUpdates(). Method in class havNN.havBpNet.havBpNode: Calculates the weight changes for each input weight of the node.
Connect(havBpLayer). Method in class havNN.havBpNet.havBpLayer: This method can be used to connect the recieving layer as input to to another layer (to).
Connect(havBpLayer, double, double). Method in class havNN.havBpNet.havBpLayer: This method can be used to connect the recieving layer as input to to another layer (to).
Connect(havBpNodeList, int, double). Method in class havNN.havBpNet.havBpNode: Establish a forward connection between the node (target) and one of its input nodes (source) using a specified fixed weight value.
Connect(havBpNodeList, int, double, double). Method in class havNN.havBpNet.havBpNode: Establish a forward connection between the node (target) and one of its input nodes (source).
ConnectBack(int, int). Method in class havNN.havBpNet.havBpNodeList: Establish a backward (downward) connections from a node (src) to another node (target).
Copy(havBpLayer, double). Method in class havNN.havBpNet.havBpLayer: This method will peform a dampened, node-to-node copy/add for each node in the receiving layer.
CopyExp(double[]). Method in class havNN.havData.havTpat: Get a copy of the EXPECTED pattern (in its scaled and normalized form) in a caller supplied buffer.
CopyMean(double[]). Method in class havNN.havData.havTdata: Copy this instance's EXPECTED Pattern Means into a caller supplied array.
CopyParms(havTdata). Method in class havNN.havData.havTdata: Copy the INPUT and EXPECTED Pattern Mean & Std-dev values FROM another instance of havTdata.
CopyPat(double[]). Method in class havNN.havData.havTpat: Get a copy of the INPUT pattern (in its scaled and normalized form) in a caller supplied buffer.
CopyPMean(double[]). Method in class havNN.havData.havTdata: Copy this instance's INPUT Pattern Means into a caller supplied array.
CopyPStdDev(double[]). Method in class havNN.havData.havTdata: Copy this instance's INPUT Pattern Std-dev's into a caller supplied array.
CopyRawExp(double[]). Method in class havNN.havData.havTpat: Get a copy of the EXPECTED pattern (all scaling and normalization removed) in a caller supplied buffer.
CopyRawPat(double[]). Method in class havNN.havData.havTpat: Get a copy of the INPUT pattern (all scaling and normalization removed) in a caller supplied buffer.
CopyStdDev(double[]). Method in class havNN.havData.havTdata: Copy this instance's EXPECTED Pattern Std-dev's into a caller supplied array.
Cycle(). Method in class havNN.havBpNet.havBpHermiteNode: Feed forward processing.
Cycle(). Method in class havNN.havBpNet.havBpHtanNode: Feed forward processing.
Cycle(). Method in class havNN.havBpNet.havBpLayer: This method will perform the feed-forward processing of the receiving layer.
Cycle(). Method in class havNN.havBpNet.havBpLinearNode: Feed forward processing.
Cycle(). Method in class havNN.havBpNet.havBpNodeList: Forward cycle all nodes in the NodeList in a purely random order.
Cycle(). Method in class havNN.havBpNet.havBpSigmoidNode: Feed forward processing.
Cycle(). Method in class havNN.havBpNet.havBpSinNode: Feed forward processing.
CycleRandom(). Method in class havNN.havBpNet.havBpLayer: This method will perform the feed-forward processing of the receiving layer.

D

Dohavlog(double). Method in class havNN.havData.havTpat: Apply havlog scaling on BOTH INPUT and EXPECTED patterns of this data instance.
Dump(). Method in class havNN.havBpNet.havBpNode: Produces a report of certain node information to stdout.
Dump(). Method in class havNN.havBpNet.havBpNodeList: Print simple report of NodeList contents on stdout.
Dump(String). Method in class havNN.havBpNet.havBpLayer: This method will produce a report (to stdout) of certain layer information.
Dump(String). Method in class havNN.havBpNet.havBpNode: Produces an indented report of certain node information to stdout.

G

GetBeta(). Method in class havNN.havBpNet.havBpLayer: Returns the layer's learning rate.
GetCascade(). Method in class havNN.havBpNet.havBpLayer: Returns the cascade coefficient for nodes in the layer
GetCascade(). Method in class havNN.havBpNet.havBpNode: Returns the node's current cascade coefficient value.
GetDecay(). Method in class havNN.havBpNet.havBpLayer: Returns the decay rate of nodes in the layer
GetDecay(). Method in class havNN.havBpNet.havBpNode: Returns the node's current weight decay value.
GetEpochSize(). Method in class havNN.havBpNet.havBpLayer: This method will return the layer's epoch size.
GetError(). Method in class havNN.havBpNet.havBpNode: Returns the node's current Error.
GetError(double[]). Method in class havNN.havBpNet.havBpLayer: This method will return the error of each node in the layer.
GetError(int). Method in class havNN.havBpNet.havBpLayer: Returns the current Error of a specified node in the layer.
GetErrorFunction(). Method in class havNN.havBpNet.havBpLayer: Returns the layer's error function
GetErrorThreshold(). Method in class havNN.havBpNet.havBpLayer: This method will return the layer's error threshold.
GetErrorThreshold(). Method in class havNN.havBpNet.havBpNode: Returns the node's current error threshold.
GetExp(). Method in class havNN.havData.havTpat: Get a reference to the EXPECTED pattern.
GetExp(int). Method in class havNN.havData.havTpat: Get the i-th element (in its scaled and normalized form) from the EXPECTED pattern.
GetExpectedValue(). Method in class havNN.havBpNet.havBpNode: Returns the node's current expected value.
GetInputWeights(). Method in class havNN.havBpNet.havBpNode: CAREFUL: this returns the ref to the node's weight member array.
GetLayerFunction(). Method in class havNN.havBpNet.havBpLayer: Returns the code of the layer's selected transfer function type.
GetLayerSize(). Method in class havNN.havBpNet.havBpLayer: Returns the number of nodes in the layer.
GetLayerType(). Method in class havNN.havBpNet.havBpLayer: Returns the "type" code.
GetLayerType(). Method in class havNN.havBpNet.havBpNode: Returns the layer type (havINPUT, havHIDDEN, havOUTPUT) of the node's parent layer.
GetMean(). Method in class havNN.havData.havTdata: Get a reference to the local list of EXPECTED Pattern Mean values.
GetMean(int). Method in class havNN.havData.havTdata: Get the Mean of the i-th EXPECTED Pattern element.
GetMomentum(). Method in class havNN.havBpNet.havBpLayer: This method will return the layer's training momentum.
GetNodeError(int). Method in class havNN.havBpNet.havBpNodeList: Get the error value of the node at index position [i].
GetNodeIndex(). Method in class havNN.havBpNet.havBpNode: Returns this node's havBpNodeList index (from 0).
GetNodeIndex(havBpNode). Method in class havNN.havBpNet.havBpNodeList: Return the index of the node whose pointer (address) equals the argument.
GetNodeInputWeights(int). Method in class havNN.havBpNet.havBpLayer: Returns a pointer to the indicated node's input weight list.
GetNodePointer(int). Method in class havNN.havBpNet.havBpNodeList: Get the reference (address) of the node located at index position [i].
GetNodeValue(int). Method in class havNN.havBpNet.havBpNodeList: Get the value of the node whose reference is at index position [i].
GetNumberOfInputs(). Method in class havNN.havBpNet.havBpNode: Returns the number of inputs connected to the node.
GetNumberOfInputs(int). Method in class havNN.havBpNet.havBpLayer: Returns the number of nodes connected as input to node n.
GetNumberOfNodes(). Method in class havNN.havBpNet.havBpNodeList: Get the size (number of node references allocated) of the node list.
GetPat(). Method in class havNN.havData.havTpat: Get a reference to the INPUT pattern.
GetPat(int). Method in class havNN.havData.havTdata: Get the pnum-th pattern.
GetPat(int). Method in class havNN.havData.havTpat: Get the i-th element (in its scaled and normalized form) fron the INPUT pattern.
GetPMean(). Method in class havNN.havData.havTdata: Get a reference to the local list of INPUT Pattern Mean values.
GetPMean(int). Method in class havNN.havData.havTdata: Get the Mean of the i-th INPUT Pattern element.
GetPStdDev(). Method in class havNN.havData.havTdata: Get a reference to the local list of INPUT Pattern Std-dev values.
GetPStdDev(int). Method in class havNN.havData.havTdata: Get the Std-dev of the i-th INPUT Pattern element.
GetRandPat(int). Method in class havNN.havData.havTdata: Get the pnum-th RANDOM pattern.
GetRawExp(int). Method in class havNN.havData.havTpat: Get the i-th element (all scaling and normalization removed) fron the EXPECTED pattern.
GetRawPat(int). Method in class havNN.havData.havTpat: Get the i-th element (all scaling and normalization removed) fron the INPUT pattern.
GetRawValue(). Method in class havNN.havBpNet.havBpNode: Returns the unscalled value of the node.
GetScaledError(). Method in class havNN.havBpNet.havBpLayer: This method will return the sum of the layer's node's scaled errors divided by the layer's error function type.
GetScaledError(int). Method in class havNN.havBpNet.havBpNode: Returns the node's error, (expected-actual), scaled by the indicated error function.
GetSquaredError(). Method in class havNN.havBpNet.havBpLayer: This method will return the sum of the squared error of all nodes in the layer.
GetStdDev(). Method in class havNN.havData.havTdata: Get a reference to the local list of INPUT Pattern Std-dev values.
GetStdDev(int). Method in class havNN.havData.havTdata: Get the Std-dev of the i-th INPUT Pattern element.
GetValue(). Method in class havNN.havBpNet.havBpNode: Return the node's current activation value.
GetValue(double[]). Method in class havNN.havBpNet.havBpLayer: This method will return the value of all nodes in the layer.
GetValue(int). Method in class havNN.havBpNet.havBpLayer: Returns the current activation value of the specified node in the layer.
GetWeightedError(int). Method in class havNN.havBpNet.havBpNode: Returns the node's current Error value multiplied by a sp[ecified input weight.
GetWeightedError(int, int). Method in class havNN.havBpNet.havBpNodeList: Get the connection weight between two nodes.

H

havBpHermiteNode(int). Constructor for class havNN.havBpNet.havBpHermiteNode: Standard constructor.
havBpHermiteNode(StreamTokenizer). Constructor for class havNN.havBpNet.havBpHermiteNode: The restore constructor.
havBpHtanNode(int). Constructor for class havNN.havBpNet.havBpHtanNode: Standard constructor.
havBpHtanNode(StreamTokenizer). Constructor for class havNN.havBpNet.havBpHtanNode: The restore constructor.
havBpLayer(havBpNodeList, int, int, int). Constructor for class havNN.havBpNet.havBpLayer: Creates a new Layer and all nodes in the layer using the default error function (squared error).
havBpLayer(havBpNodeList, int, int, int, int). Constructor for class havNN.havBpNet.havBpLayer: Creates a new Layer and all nodes in the layer using a specified error function.
havBpLayer(havBpNodeList, StreamTokenizer). Constructor for class havNN.havBpNet.havBpLayer: This method will restore a layer (and its nodes) from a specified file.
havBpLinearNode(int). Constructor for class havNN.havBpNet.havBpLinearNode: Standard constructor.
havBpLinearNode(StreamTokenizer). Constructor for class havNN.havBpNet.havBpLinearNode: The restore constructor.
havBpNodeList(). Constructor for class havNN.havBpNet.havBpNodeList: Standard Constructor.
havBpNodeList(int). Constructor for class havNN.havBpNet.havBpNodeList: Alternate Constructor.
havBpNodeList(StreamTokenizer). Constructor for class havNN.havBpNet.havBpNodeList: Restore Constructor.
Scans in the number of nodes and last used index of a saved nodelist and allocates the appropriate size node pointer list.
havBpSigmoidNode(int). Constructor for class havNN.havBpNet.havBpSigmoidNode: Standard constructor.
havBpSigmoidNode(StreamTokenizer). Constructor for class havNN.havBpNet.havBpSigmoidNode: The restore constructor.
havBpSinNode(int). Constructor for class havNN.havBpNet.havBpSinNode: Standard constructor.
havBpSinNode(StreamTokenizer). Constructor for class havNN.havBpNet.havBpSinNode: The restore constructor.
havCUBE. Static variable in class havNN.havSystem.havSys: Value = 3.
havexp(double). Static method in class havNN.havSystem.havSys: General utility used for data and response UN-scaling - assumes f = 1.
havexp(double, double). Static method in class havNN.havSystem.havSys: General utility used for data and response UN-scaling.
havFALSE. Static variable in class havNN.havSystem.havSys: Value = 0.
havHERMITE. Static variable in class havNN.havSystem.havSys: Value = 4.
havHIDDEN. Static variable in class havNN.havSystem.havSys: Value = 1.
havHTAN. Static variable in class havNN.havSystem.havSys: Value = 1.
havINPUT. Static variable in class havNN.havSystem.havSys: Value = 0.
havLINEAR. Static variable in class havNN.havSystem.havSys: Value = 2.
havlog(double). Static method in class havNN.havSystem.havSys: General utility used to for data and response scalling - assumes f1.
havlog(double, double). Static method in class havNN.havSystem.havSys: General utility used for data and response scalling.
havOFF. Static variable in class havNN.havSystem.havSys: Value = 1.
havON. Static variable in class havNN.havSystem.havSys: Value = 0.
havOUTPUT. Static variable in class havNN.havSystem.havSys: Value = 2.
havQUAD. Static variable in class havNN.havSystem.havSys: Value = 4.
havSIGMOID. Static variable in class havNN.havSystem.havSys: Value = 0.
havSIN. Static variable in class havNN.havSystem.havSys: Value = 3.
havSQUARED. Static variable in class havNN.havSystem.havSys: Value = 2.
havSys(). Constructor for class havNN.havSystem.havSys
havTdata(int, int, int, String, int, double). Constructor for class havNN.havData.havTdata: Standard Constructor.
havTpat(int, int, StreamTokenizer, havTdata). Constructor for class havNN.havData.havTpat: Standard Constructor.
havTRUE. Static variable in class havNN.havSystem.havSys: Value = 1.

I

InitValue(double). Method in class havNN.havBpNet.havBpLayer: This method will set the activation value of all nodes in the layer to a caller supplied value.

M

mk1d(long, int[], int[]). Static method in class havNN.havSystem.havSys: This general utility function will calculate a 1d index value from an Nd specification.
mkNd(int, int, int[], int[]). Static method in class havNN.havSystem.havSys: This utility function will calculate an Nd index from a 1d index specification.

N

Normalize(). Method in class havNN.havData.havTdata: Apply Mean & Std-dev Normalization to both INPUT & EXPECTED patterns.
NormalizeExp(). Method in class havNN.havData.havTdata: Apply Mean & Std-dev Normalization to EXPECTED patterns.
NormalizeExp(double[], double[]). Method in class havNN.havData.havTpat: Apply the appropriate mean and standard deviations to the EXPECTED PATTERN in this data pattern instance.
NormalizePat(). Method in class havNN.havData.havTdata: Apply Mean & Std-dev Normalization to INPUT patterns.
NormalizePat(double[], double[]). Method in class havNN.havData.havTpat: Apply the appropriate mean and standard deviations to the INPUT PATTERN in this data pattern instance.
NormalizeWeights(). Method in class havNN.havBpNet.havBpLayer: This method will normalize the INPUT weights of EACH of its nodes such that their ABS VALUES sum to 1.0.
NormalizeWeights(). Method in class havNN.havBpNet.havBpNode: Normalize the INPUT weights of a node such that their ABS VALUES sum to 1.
NormalizeWeights(double). Method in class havNN.havBpNet.havBpLayer: This method will normalize the INPUT weights of EACH of its nodes such that their ABS VALUES sum to the value specified for fact.
NormalizeWeights(double). Method in class havNN.havBpNet.havBpNode: Normalize the INPUT weights of a node such that their ABS VALUES sum to a specified value.

P

PrintPatError(havBpLayer, boolean). Method in class havNN.havData.havTpat: Calculate error for a given pattern in an indicated output layer - optionally report error for the pattern to stdout.
PrintSignPatError(havBpLayer, boolean). Method in class havNN.havData.havTpat: Calculate error (based on only the sign of expected and actual response values)for a given pattern in an indicated output layer - optionally report error for the pattern to stdout.
PutBeta(double). Method in class havNN.havBpNet.havBpLayer: Sets the layer's learning constant (Beta) to the caller specified value.
PutBeta(double). Method in class havNN.havBpNet.havBpNode: Set the node's learning rate.
PutCascade(double). Method in class havNN.havBpNet.havBpLayer: Sets the cascade coefficient for nodes in the layer
PutCascade(double). Method in class havNN.havBpNet.havBpNode: Sets the node's cascade coefficient.
PutDecay(double). Method in class havNN.havBpNet.havBpLayer: Sets the layer's decay rate.
PutDecay(double). Method in class havNN.havBpNet.havBpNode: Sets the node's weight decay value.
PutEpochSize(int). Method in class havNN.havBpNet.havBpLayer: Sets the layer's epoch value.
PutEpochSize(int). Method in class havNN.havBpNet.havBpNode: Sets the node's epoch (batch size).
PutErrorFunction(int). Method in class havNN.havBpNet.havBpLayer: Sets the layer's error function.
PutErrorFunction(int). Method in class havNN.havBpNet.havBpNode: Sets the node's error function.
PutErrorThreshold(double). Method in class havNN.havBpNet.havBpLayer: This method will set the error threshold for all nodes in the layer to a specified value.
PutErrorThreshold(double). Method in class havNN.havBpNet.havBpNode: Set the node's error threshold.
PutExpected(double[]). Method in class havNN.havBpNet.havBpLayer: This method will set the expected values of all nodes in the receiving layer to the values in a caller supplied array of double values.
PutExpected(int, double). Method in class havNN.havBpNet.havBpLayer: This method will assign a caller supplied expected value to a caller specified node in the receiving layer.
PutExpectedValue(double). Method in class havNN.havBpNet.havBpNode: Sets the expected value of the node.
PutMean(double[]). Method in class havNN.havData.havTdata: Set EXPECTED Means.
PutMomentum(double). Method in class havNN.havBpNet.havBpLayer: Sets the layer's learning momentum to the caller specified value.
PutMomentum(double). Method in class havNN.havBpNet.havBpNode: Sets the node's learning momentum.
PutNodeIndex(int). Method in class havNN.havBpNet.havBpNode: Inform the node of its index position in the havBpNodeList to which its parent layer belongs.
PutNodeList(havBpNodeList). Method in class havNN.havBpNet.havBpNode: Sets the "pointer" to the havBpNodeList to which the nopde's parent layer belongs.
PutNodePointer(int, havBpNode). Method in class havNN.havBpNet.havBpNodeList: Puts a reference at index position [i].
PutNodeValue(int, double). Method in class havNN.havBpNet.havBpNodeList: Set the value of the node at index position [i].
PutNoise(double). Method in class havNN.havBpNet.havBpLayer: Sets the layer's noise level.
PutPMean(double[]). Method in class havNN.havData.havTdata: Set INPUT Means.
PutPStdDev(double[]). Method in class havNN.havData.havTdata: Set INPUT Std-dev's.
PutStdDev(double[]). Method in class havNN.havData.havTdata: Set EXPECTED Std-dev's.
PutValue(double). Method in class havNN.havBpNet.havBpNode: Set the node's activation value to some specified value.
PutValue(double[]). Method in class havNN.havBpNet.havBpLayer: This method will set the activation values of all nodes in the receiving layer to the values in a caller supplied vector of double values.
PutValue(int, double). Method in class havNN.havBpNet.havBpLayer: This method will assign a caller supplied activation value to a caller specified node in the receiving layer.

R

Randomize(). Method in class havNN.havData.havTdata: Generate new random pattern order.
readDouble(StreamTokenizer). Static method in class havNN.havSystem.havSys: General utility for reading a Double value from a file.
readInt(StreamTokenizer). Static method in class havNN.havSystem.havSys: General utility for reading an Integer value from a file.
ReduceBeta(double). Method in class havNN.havBpNet.havBpLayer: This method will reduce the layer's learning constant (Beta) by a percentage of it's current level.
ReduceMomentum(double). Method in class havNN.havBpNet.havBpLayer: This method will reduce the layer's momentum by a percentage of it's current level.
ReduceNoise(double). Method in class havNN.havBpNet.havBpLayer: This method will reduce the layer's noise level by a percentage of it's current level.
Restore(StreamTokenizer). Method in class havNN.havBpNet.havBpLayer: This method will restore a layer (and its nodes) from a specified file.
Restore(StreamTokenizer). Method in class havNN.havBpNet.havBpNode: Restore the node's data from a specified SAVE file.
Restore(StreamTokenizer). Method in class havNN.havBpNet.havBpNodeList: Read in the number of nodes and last used index of a saved nodelist and allocates the appropriate size node pointer list.
RestoreParms(StreamTokenizer). Method in class havNN.havData.havTdata: Restore the mean and standard-deviation values.

S

Save(FileOutputStream). Method in class havNN.havBpNet.havBpLayer: This method will save the appropriate layer information and data to the caller specified file.
Save(FileOutputStream). Method in class havNN.havBpNet.havBpNode: Save the node in a specified SAVE file.
Save(FileOutputStream). Method in class havNN.havBpNet.havBpNodeList: Save the number of nodes and last used index of the nodelist.
SaveParms(FileOutputStream). Method in class havNN.havData.havTdata: Save the mean and standard-deviation values.
SetTraining(int). Method in class havNN.havBpNet.havBpLayer: Enable/Disable training (weight updates) for the layer's nodes.
SetTraining(int). Method in class havNN.havBpNet.havBpNode: Enable/disable INPUT weight adjustments for the node.
ShowRandList(). Method in class havNN.havData.havTdata: Print the current random order list to stdout.
sign_of(double). Static method in class havNN.havSystem.havSys: This utility function will return the sign of the input as +/- 1 or 0 if the input is 0.
SkipRestoreParms(StreamTokenizer). Method in class havNN.havData.havTdata: Skip saved Mean & Std-dev data in a SAVE file.

T

Train(). Method in class havNN.havBpNet.havBpLayer: This method will perform the error calculation and back propagation for each node in the layer.
Train(). Method in class havNN.havBpNet.havBpNode: Calculate the node's error and update it's input weights.
Train(). Method in class havNN.havBpNet.havBpNodeList: Train all nodes in the NodeList in a purely random order.
TrainRandom(). Method in class havNN.havBpNet.havBpLayer: This method will perform the error calculation and back propagation for each node in the layer.

U

UpdateWeights(). Method in class havNN.havBpNet.havBpLayer: This member function will apply the weight updates calculated by the CalculateUpdates(...) member functions
UpdateWeights(). Method in class havNN.havBpNet.havBpNode: Apply weight changed that were calculated during error calculation.

W

WTA(double). Method in class havNN.havBpNet.havBpLayer: Winner take all - set all nodes to 0.0 except the best node which will be set to the value of the v argument.

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