Contents

Index

• Getting Started

• Neuron Model and Network Architectures

• Perceptrons

• Linear Filters

• Network Architecture

Creating a Linear Neuron (newlin)

Least Mean Square Error

Linear System Design (newlind)

• Linear Networks with Delays

Tapped Delay Line

LMS Algorithm (learnwh)

Linear Classification (train)

• Limitations and Cautions

Overdetermined Systems

Underdetermined Systems

Linearly Dependent Vectors

Too Large a Learning Rate

• 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

Linear Filters

Network Architecture

Least Mean Square Error

Linear System Design (newlind)

Linear Networks with Delays

LMS Algorithm (learnwh)

Linear Classification (train)

Limitations and Cautions

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