The NeuralWizard

The icon-based user interface of NeuroSolutions provides unprecedented design flexibility for constructing a neural network. However, this level of access normally requires that you have a substantial amount of neural network knowledge. The NeuralWizard utility eliminates this requirement by hiding the complexities of the network and simplifying the design process down to an easy, step-by-step procedure. Most importantly, the flexibility of the component-based construction is not lost. All of the parameters of the constructed network, as well as the topology itself, can be completely customized.

You simply select a neural model, and then answer a few questions about its configuration parameters. The NeuralWizard will compute default values for each parameter based on your input data. These default values will typically produce a network that is capable of solving your problem. However, the real power of NeuroSolutions is the level of access provided to you for parameter optimization.

Design Steps

1. Training Data Selection
2. Network Analysis
3. Topology Configuration
4. Layer Configuration
5. Simulation Control
6. Probe Configuration

Supported Models

1. Multilayer Perceptron (MLP)
2. Generalized Feedforward
3. Modular
4. Jordan/Elman
5. Self-Organizing Feature Map (SOFM)
6. Principal Component Analysis (PCA)
7. Radial Basis Function (RBF)
8. Time-Lag Recurrent (TLRN)

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