Intro Network Classes Overview Data Classes Overview Packages havBpNet:J Home Page
havBpNet:J is a collection of Java 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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