havBpNet:J

Intro    Network Classes Overview    Data Classes Overview    Packages

havBpNet:J Home Page

havBpNet:J is a collection of Java^TM classes which can be used to implement stand-alone or embedded Feed Forward, Sequential or Recurrent neural networks trained by Backpropagation. Network trainers and consulters can be delivered as either applications or applets.

The havBpNet:J documentation consists of several main sections:

• Overall Introduction - a general description of havBpNet:J
• Network Classes Overview - descriptions and examples of using the main network classes
• Data Classes Overview - descriptions and examples of using the aux. data classes
• Packages and Classes - typical package and class API documentation

Several example applications are provided in the examples directory.

You can take a look at the Inatallation Notes for information on things like the installation directory structure, environment variable configuration, etc.

Intro    Network Classes Overview    Data Classes Overview    Packages

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