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General Products
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havChat
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| havChat is a Java (1.1), Non-IRC, TCP/IP chat server with multiple customizable applet client modules and featuring support for Instant Messages, extensive "Branding", Multiple Rooms, Moderation, multiple Whiteboards, multiple Privilege Levels (per room), Remote Administration, Private Chats (including private chat displays), custom "Roles", Local and Server-side content Logging, Remote applet loading, URL Tours/Push, Popup Messages, an invisible tracking applet, custom User Authorization, custom Chat Bots and more.
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[ Features || More Info & Live Demos || Pricing & Orders ]
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Neural Networks and Related Products
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havBpNet:J |
JAVA class library implementing Feedforward, Simple Recurrent (Sequential) and Random-Order Recurrent nets trained by Backpropagation. The JAVA version of our popular havBpNet++ class library Both Individual and Site Licensing available.
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havBpNet++ |
C++ class library implementing Feedforward, Simple Recurrent (Sequential) and Random-Order Recurrent nets trained by Backpropagation. Both Individual and Site Licensing available.
[ More Info || Pricing & Orders ]
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havBpETT |
By rather popular demand, you can now purchase a fully functional version of the havBpETT Demo - a VB application which uses a DLL version of the havBpNet++ C++ class library implementing Feedforward, Simple Recurrent (Sequential) and Random-Order Recurrent nets trained by Backpropagation. Both Individual and Group Licensing available.
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havFmNet:J |
JAVA class library implementing Self Organizing 1D to nD Feature Map nets with fully "hyper" neighborhood function (On-Center/Off-Surround) and parameters (conscience, learning rate, batch size, noise, etc.). Great for use in embedded or stand alone training and consultation app's which require feature mapping functionality. The JAVA version of our popular havFmNet++ class library Both Individual and Site Licensing available.
[ More Info || Pricing & Orders ]
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havFmNet++ |
C++ class library implementing Self Organizing 1D to nD Feature Map nets with fully "hyper" neighborhood function (On-Center/Off-Surround) and parameters (conscience, learning rate, batch size, noise, etc.).
Great for use in embedded or stand alone training and consultation app's which require feature mapping functionality.
[ More Info ]
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