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Nelles, Oliver

Nonlinear System Indentification: From Classical Approaches to Neural Networks and Fuzzy Models - Germany Springer-Verlag 2001 - 785p

Introduction
Part - 1: Optimization Techniques
Introduction to Optimization
Linear Optimization
Nonlinear Local Optimization
Nonlinear Global Optimization
Unsupervised Learning Techniques
Model Complexity Optimization
Summary of Part 1
Part - 2: Static Models
Introduction to Static Models
Linear, Polynomial, and Look-Up Table Models
Neural Networks
Fuzzy and Neuro Fuzzy Models
Local Linear Neuro Fuzzy Models: Fundamentals
Local Linear Neuro Fuzzy Models: Advanced Aspects
Summary of Part 2
Linear Dynamic System Identification
Nonlinear Dynamic System Identification
Classical Polynomial Approaches
Dynamic Neural and Fuzzy Models
Dynamic Local Linear Neuro Fuzzy Models
Neural Networks with Internal Dynamics
Part - 4: Applications
Applications of Static Models
Applications of Dynamic Models
Applications of Advanced Methods
A: Vectors and Matrices
B: Statistics
References
Index

ISBN: 9783540673699

Subjects--Topical Terms:
Instrumentation Engineering

Dewey Class. No.: 003.75 / NEL