num_pages: 785
description: Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.
language: English
title: Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
titlecomplete: Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
ratings_count: 2
publisher: Springer