Více než 4 miliony titulů v angličtině i dalších jazycích! Objevte svůj nový příběh ještě dnes!

Zjistit stav objednávky

Kontaktujte nás

Nonlinear Dynamical Systems - Feedforward Network Perspectives

Autor: I. W. Sandberg, James T. Lo, Craig L. Fancourt, Jose C. Principe, Shigeru Katagiri, Simon S. Haykin

Jazyk:

Vazba: Pevná

Vydavatel: John Wiley & Sons Inc

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

4 340 Kč

The first truly up-to-date look at the theory and capabilities of nonlinear dynamical systems that t...

Informace o knize

Autor

I. W. Sandberg, James T. Lo, Craig L. Fancourt, Jose C. Principe, Shigeru Katagiri, Simon S. Haykin

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2001

Stránek

312

EAN

9780471349112

ISBN

0471349119

Enbook ID

04889976

Vydavatel

John Wiley & Sons Inc

Hmotnost

696

Rozměry

176 x 240 x 22

Kompletní popis

The first truly up-to-date look at the theory and capabilities of nonlinear dynamical systems that take the form of feedforward neural network structures Considered one of the most important types of structures in the study of neural networks and neural-like networks, feedforward networks incorporating dynamical elements have important properties and are of use in many applications. Specializing in experiential knowledge, a neural network stores and expands its knowledge base via strikingly human routes-through a learning process and information storage involving interconnection strengths known as synaptic weights. In Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives, six leading authorities describe recent contributions to the development of an analytical basis for the understanding and use of nonlinear dynamical systems of the feedforward type, especially in the areas of control, signal processing, and time series analysis. Moving from an introductory discussion of the different aspects of feedforward neural networks, the book then addresses: Classification problems and the related problem of approximating dynamic nonlinear input-output maps The development of robust controllers and filters The capability of neural networks to approximate functions and dynamic systems with respect to risk-sensitive error Segmenting a time series It then sheds light on the application of feedforward neural networks to speech processing, summarizing speech-related techniques, and reviewing feedforward neural networks from the viewpoint of fundamental design issues. An up-to-date and authoritative look at the ever-widening technical boundaries and influence of neural networks in dynamical systems, this volume is an indispensable resource for researchers in neural networks and a reference staple for libraries.

Nejčastěji hledané

Categories

Authors

Publishers

Produkty

Produkty

Nejčastěji hledané

Categories

Authors

Publishers

Produkty

Produkty

Nonlinear Dynamical Systems - Feedforward Network Perspectives

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také