Deterministic Learning Theory for Identification, Recognition, and Control / Najlacnejšie knihy
Deterministic Learning Theory for Identification, Recognition, and Control

Code: 16387144

Deterministic Learning Theory for Identification, Recognition, and Control

by WANG

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides ... more

97.79

Availability:

50/50We think title might be available. Upon your order we will do our best to get it within 6 weeks.
We search the world

Availability alert

Add to wishlist

You might also like

Give this book as a present today
  1. Order book and choose Gift Order.
  2. We will send you book gift voucher at once. You can give it out to anyone.
  3. Book will be send to donee, nothing more to care about.

Book gift voucher sampleRead more

Availability alert

Availability alert


Your agreement - Submiting you agree to the Terms and Condtions.

We will watch availability for you

Enter your e-mail address and once book will be available,
we will send you a message. It's that simple.

More about Deterministic Learning Theory for Identification, Recognition, and Control

You get 237 loyalty points

Book synopsis

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way.

A Deterministic View of Learning in Dynamic Environments

The authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems.

A New Model of Information Processing

This book elucidates a learning theory which is developed using concepts and tools from the discipline of systems and control. Fundamental knowledge about system dynamics is obtained from dynamical processes, and is then utilized to achieve rapid recognition of dynamical patterns and pattern-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).

Book details

Book category Books in English Technology, engineering, agriculture Energy technology & engineering Electrical engineering

97.79

Trending among others



Collection points Bratislava a 12927 dalších

Copyright ©2008-26 najlacnejsie-knihy.sk All rights reservedPrivacyCookies


Account: Log in
Všetky knihy sveta na jednom mieste. Navyše za skvelé ceny.

Shopping cart ( Empty )

For free shipping
shop for 59,99 € and more

You are here: