Contents

Index

• Getting Started

• Neuron Model and Network Architectures

• Perceptrons

• Linear Filters

• Backpropagation

• Dynamic Networks

• Control Systems

• Radial Basis Networks

• Self-Organizing and Learning Vector Quantization Nets

• Adaptive Filters and Adaptive Training

• Introduction

Important Adaptive Functions

Linear Neuron Model

• Adaptive Linear Network Architecture

Single ADALINE (newlin)

Least Mean Square Error

LMS Algorithm (learnwh)

• Adaptive Filtering (adapt)

Tapped Delay Line

Adaptive Filter

Adaptive Filter Example

Prediction Example

Noise Cancellation Example

Multiple Neuron Adaptive Filters

• Applications

• Advanced Topics

• Historical Networks

• Network Object Reference

• Function Reference

• Mathematical Notation

• Blocks for the Simulink Environment

• Release Notes

Adaptive Filters and Adaptive Training

Linear Neuron Model

Adaptive Linear Network Architecture

Least Mean Square Error

LMS Algorithm (learnwh)

Adaptive Filtering (adapt)

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Learning Vector Quantization Networks Introduction

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