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Level Comparison
Educator
Users
Consultants
Professional
Developers Lite
Developers

Unrestricted Topologies

• All the topologies of the Educator level
• Modular networks
• Jordan-Elman networks
• Self Organizing Feature Map networks
• Radial Basis Function networks
• User-defined network topologies
• Principal Component Analysis networks
• Probabilistic networks
• General Regression networks
• Fuzzy Logic networks
• Support Vector Machine networks
• User-defined network topologies
• Up to 500 inputs/neurons per layer
• Up to 6 hidden layers

Learning Paradigms

• Backpropagation
• Unsupervised Learning
  • Hebbian
  • Oja's
  • Sanger's
  • Competitive
  • Kohonen

Additional Features

• Genetic optimization of neural network parameters and weights.

Competitive Advantage

• More neurons per layer
• More neural models to choose from
• More unsupervised learning rules

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