Contents

Index

• Getting Started

• Neuron Model and Network Architectures

• Neuron Model

Transfer Functions

Neuron with Vector Input

• Network Architectures

A Layer of Neurons

Multiple Layers of Neurons

Input and Output Processing Functions

• Data Structures

Simulation with Concurrent Inputs in a Static Network

Simulation with Sequential Inputs in a Dynamic Network

Simulation with Concurrent Inputs in a Dynamic Network

• Training Styles

Incremental Training (of Adaptive and Other Networks)

Training Feedback

• Perceptrons

• Linear Filters

• Backpropagation

• Dynamic Networks

• Control Systems

• Radial Basis Networks

• Self-Organizing and Learning Vector Quantization Nets

• Adaptive Filters and Adaptive Training

• Applications

• Advanced Topics

• Historical Networks

• Network Object Reference

• Function Reference

• Mathematical Notation

• Blocks for the Simulink Environment

• Release Notes

Neuron Model and Network Architectures

Network Architectures

Data Structures

Training Styles

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