• NeuroSolutions Features
• NeuroSolutions for Excel*
• Users
• Consultants
• Developers

• Topologies

• Linear Regression
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• Multilayer Perceptron (MLP)
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• Generalized Feedforward Network
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• Probabilistic Neural Network (PNN)
• ×
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• Modular Network
• ×
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• Jordan / Elman Networks
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• Self-Organizing Map (SOM)
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• Principal Component Analysis (PCA)
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• Radial Basis Function (RBF)
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• General Regression Neural Network (GRNN)
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• Neuro-Fuzzy Network (CANFIS)
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• Support Vector Machine Network
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• Support Vector Machine Regression Network
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• Hopefield Network
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• Time Delay Neural Network (TDNN)
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• Time-Lag Recurrent Network (TLRN)
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• General Recurrent Network
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• Maximum Number of Inputs / Outputs / Neurons Per Layer
• 50
• 500
• Unlimited
• Unlimited

• Maximum Number of Hidden Layers
• 2
• 6
• Unlimited
• Unlimited

• Learning Paradigms

• Backpropagation
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• Unsupervised Learning
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• Recurrent Backpropagation
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• Backpropagation Through Time
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• Optimization Techniques

• Genetic Optimization
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• Input Optimization: Greedy Search
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• Input Optimization: Back-Elimination
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• Input Projection Component
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• Gradient Descent Methods

• Resilient Backpropagation (RProp)
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• Step / Momentum
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• Delta Bar Delta
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• Quickprop
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• Conjugate Gradient
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• Levenberg-Marquardt
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• Advanced Features

• Weight Regularization
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• Exemplar Weighting
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• Sensitivity Analysis
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• Macros / OLE Automation
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• Iterative Prediction
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• User-defined Neural Components (using DLLs)
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• ANSI C++ Source Code Generation
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