Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications - Image 1

Price loading...

Springer Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications

Name: Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications
Brand: Springer

Multi

AI & Machine Learning

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Multi-Valued and Universal Binary Neurons deals with two new types of neurons: multi-valued neurons and universal binary neurons. These neurons are based on complex number arithmetic and are hence much more powerful than the typical neurons used in artificial neural networks. Therefore, networks with such neurons exhibit a broad functionality. They can not only realise threshold input/output maps but can also implement any arbitrary Boolean function. Two learning methods are presented whereby these networks can be trained easily. The broad applicability of these networks is proven by several case studies in different fields of application: image processing, edge detection, image enhancement, super resolution, pattern recognition, face recognition, and prediction. The book is hence partitioned into three almost equally sized parts: a mathematical study of the unique features of these new neurons, learning of networks of such neurons, and application of such neural networks. Most of this work was developed by the first two authors over a period of more than 10 years and was only available in the Russian literature. With this book we present the first comprehensive treatment of this important class of neural networks in the open Western literature. Multi-Valued and Universal Binary Neurons is intended for anyone with a scholarly interest in neural network theory, applications and learning. It will also be of interest to researchers and practitioners in the fields of image processing, pattern recognition, control and robotics.

Product Specifications

Brand: Springer
Colour: Multi
Format: Hardcover
ASIN: 0792378245
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 30 April 2000
Listed Since: 15 December 2006

Barcode

No barcode data available

Springer Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Complex-Valued Neural Networks with Multi-Valued Neurons: 353 (Studies in Computational Intelligence, 353)

Springer Complex-Valued Neural Networks - Studies in Comp Intel

Complex-Valued Neural Networks: 400 (Studies in Computational Intelligence, 400)

Models of Neurons and Perceptrons: Selected Problems and Challenges: 770 (Studies in Computational Intelligence, 770)

Springer Neural Networks: Computational Models and Applications

Complex-Valued Neural Networks: 400 (Studies in Computational Intelligence, 400)

Neural Networks: Methodology and Applications

Advances in Neural Computation, Machine Learning, and Cognitive Research IV: Selected Papers from the XXII International Conference on ... (Studies in Computational Intelligence, 925)

Neural Networks and Deep Learning: A Textbook

Complex-Valued Neural Networks: Advances and Applications (IEEE Press Series on Computational Intelligence)

Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics: 4 (Springer Series in Bio-/Neuroinformatics, 4)

Advances in Neural Computation, Machine Learning, and Cognitive Research II: Selected Papers from the XX International Conference on Neuroinformatics, ... (Studies in Computational Intelligence, 799)

Springer Neural Information Processing Research and Development 152

Springer Advances in Neural Computation and Machine Learning

Complex-valued Neural Networks: Theories and Applications (Series on Innovative Intelligence--Vol. 5)

Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications: 904 (Studies in Computational Intelligence, 904)

Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications: 904 (Studies in Computational Intelligence, 904)

Neural Networks and Deep Learning: A Textbook

Springer Models of Neurons and Perceptrons - Vol 770

An Information-Theoretic Approach to Neural Computing (Perspectives in Neural Computing)

Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook (Advanced Textbooks in Control and Signal Processing)

Neural Networks and Deep Learning: A Textbook

Optical Neural Networks

Evolutionary Algorithms and Neural Networks: Theory and Applications: 780 (Studies in Computational Intelligence, 780)