Nonlinear System Identification from classical approaches to neural networks and fuzzy models
Nelles, Oliver
Nonlinear System Identification from classical approaches to neural networks and fuzzy models Oliver Nelles - New York Springer - xvii, 785 p. gráficos
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
3540673695
Nonlinear System Identification from classical approaches to neural networks and fuzzy models Oliver Nelles - New York Springer - xvii, 785 p. gráficos
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
3540673695