Visit our Christmas Gift Finder
Click & Collect from 2 Hours*
Free Delivery to UK Shops
Free UK Standard Delivery On all orders £20 and over Free Delivery to UK Shops Local shops and expert booksellers nationwide Free Click & Collect to UK shops From 2 hours of your order*
Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications - Advances in Industrial Control (Hardback)
  • Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications - Advances in Industrial Control (Hardback)
zoom

Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications - Advances in Industrial Control (Hardback)

(author), (author)
£72.00
Hardback Published: 01/12/1999
  • Not available

This product is currently unavailable.

  • This item has been added to your basket
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ..., new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Neural networks is one of those areas where an initial burst of enthusiasm and optimism leads to an explosion of papers in the journals and many presentations at conferences but it is only in the last decade that significant theoretical work on stability, convergence and robustness for the use of neural networks in control systems has been tackled. George Rovithakis and Manolis Christodoulou have been interested in these theoretical problems and in the practical aspects of neural network applications to industrial problems. This very welcome addition to the Advances in Industrial Control series provides a succinct report of their research. The neural network model at the core of their work is the Recurrent High Order Neural Network (RHONN) and a complete theoretical and simulation development is presented. Different readers will find different aspects of the development of interest. The last chapter of the monograph discusses the problem of manufacturing or production process scheduling.

Publisher: Springer London Ltd
ISBN: 9781852336233
Weight: 450 g
Dimensions: 240 x 164 x 18 mm

You may also be interested in...

Introducing Artificial Intelligence
Added to basket
Machine Learning
Added to basket
Machine Learning
Added to basket
£39.99
Paperback
Reinforcement Learning
Added to basket
The Elements of Statistical Learning
Added to basket
Machine Learning
Added to basket
£37.99
Paperback
Understanding Beliefs
Added to basket
Bayesian Reasoning and Machine Learning
Added to basket
Thoughtful Machine Learning
Added to basket
Programming Computer Vision with Python
Added to basket
Foundations of Knowledge Systems
Added to basket
An Introduction to Genetic Algorithms
Added to basket
Multi-Agent Machine Learning
Added to basket

Please sign in to write a review

Your review has been submitted successfully.