GUI
NeuralBuilder
Step 1: Model Selection
Step 2: Training Data
Step 3: Cross Validation
Step 4: Topology Config.
Step 5: Layer Config.
Step 6: Simulation Control
Step 7: Probe Config.
Probing
Advanced Features
Developer Tools

This panel is used to select the base neural model to use for the network. There are 9 different models to choose from:

• Multilayer Perceptron
• Generalized Feedforward
• Modular Neural Network
• Jordan/Elman Network
• Principal Component Analysis Network
• Radial Basis Function Network
• Self-Organizing Feature Map Network
• Time-Lag Recurrent Network
• Recurrent Network

It is important to note that these models are simply a starting point. Once the NeuralBuilder builds the network, you can modify the network topology to implement your own neural model.

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