TY  - BOOK
AU  - Nelles, Oliver
TI  - Nonlinear System Indentification: From Classical Approaches to Neural Networks and Fuzzy Models
SN  - 9783540673699
U1  - 003.75 
PY  - 2001///
CY  - Germany
PB  - Springer-Verlag
KW  - Instrumentation Engineering
N1  - 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
ER  -