Nonlinear System Identification from classical approaches to neural networks and fuzzy models Oliver Nelles

Apéndice a índice alfabético, al final del libro

Referencias bibliográficas p. 757778

Introduction

Optimization techniques

Linear optimization

Nonlinear local optimization

Nonlinear global optimization

Unsupervised learning techniques

Model complexity optimization

Introduction to static models

Linear, polynomial and lookup table models

Neural networks

Fuzzy and neurofuzzy models

Local linear neurofuzzy models : fundamentals

Local linear neurofuzzy models . advanced aspects

Linear dynamic system identification

Nonlinear dynamic system identification

Classical polynomial approaches

Dynamic neural and fuzzy models

Dynamic local linear neurofuzzy models

Neural networks with international dynamics

Applications fof static models

Applications of dynamic models

Applications of advanced methods