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Linear Filters


Introduction
Introduces the chapter
Neuron Model
Provides a model of a linear neuron
Network Architecture
Graphically displays linear network architecture
Mean Square Error
Discusses Least Mean Square Error supervised training
Linear System Design (newlind)
Discusses the linear system design function newlind
Linear Networks with Delays
Introduces and graphically depicts tapped delay lines and linear filters
LMS Algorithm (learnwh)
Describes the Widrow-Hoff learning algorithm learnwh
Linear Classification (train)
Discusses the training function train
Limitations and Cautions
Describes the limitations of linear networks
Summary
Provides a consolidated review of the chapter concepts


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