主要功能:
- Multilayer Perceptrons (MLP)
- Up to 6 hidden layers
Generalized Feedforward networks
Probabilistic Neural Network (PNN)
Modular networks
Jordan-Elman networks
Self Organizing Map (SOM)
Radial Basis Function networks (RBF)
Neuro-Fuzzy (CANFIS)
Support Vector Machine (SVM)
Support Vector Machine Regression (SVM-R)
User-defined network topologies
Up to 500 neurons per layer
Additional Features
- Genetic Parameter Optimization
- Input Optimization - Greedy Search & Back-Elimination
Learning Paradigms
- Backpropagation
- Kohonen
Step
Momentum
Delta-Bar-Delta
Quickprop
Conjugate Gradient
Levenberg-Marquardt
Unsupervised Learning
Hebbian
Oja抯
Sanger抯
Competitive
Competitive Advantage
- Double-precision calculations
- Extensive probing capabilities
Fast simulations
Icon-based graphical user interface


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