Network Models for Control and Processing

Control and Processing A powerful research tool that unites the related work on both modeling control and processing in distributed networks . Traditional publications in the field of network models have focussed on specific areas ...

Network Models for Control and Processing

This book provides a powerful tool for collecting and correlating related bodies of research in modelling control and processing in distributed networks. While traditional publications in the field of network models have focussed on specific areas, this successfully intersects many related fields. These cover: control processes, modelling features and operations of biological neural networks and neurons, simulation of biological experimentation, and representation of artificial neural networks (ANNs) Within the fields mentioned, the topics discussed include: control solutions using theoretical computational learning models, learning algorithms and polynomial networks; simulating biological experimentation and physical mechanisms with computer-assisted and hardware models of biological neural networks and neurons; improving processes for representing artificial neural networks by verification from SPICE and global optimization techniques.

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Network Models for Control and Processing
Language: en
Pages: 198
Authors: Martin D. Fraser
Categories: Computers
Type: BOOK - Published: 2000 - Publisher: Intellect Books

This book provides a powerful tool for collecting and correlating related bodies of research in modelling control and processing in distributed networks. While traditional publications in the field of network models have focussed on specific areas, this successfully intersects many related fields. These cover: control processes, modelling features and operations
Applied Artificial Higher Order Neural Networks for Control and Recognition
Language: en
Pages: 511
Authors: Zhang, Ming
Categories: Computers
Type: BOOK - Published: 2016-05-05 - Publisher: IGI Global

In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain
High Dimensional Neurocomputing
Language: en
Pages: 165
Authors: Bipin Kumar Tripathi
Categories: Technology & Engineering
Type: BOOK - Published: 2014-11-05 - Publisher: Springer

The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher
Advances in Analog Circuits
Language: en
Pages: 382
Authors: Esteban Tlelo-Cuautle
Categories: Technology & Engineering
Type: BOOK - Published: 2011-02-02 - Publisher: BoD – Books on Demand

This book highlights key design issues and challenges to guarantee the development of successful applications of analog circuits. Researchers around the world share acquired experience and insights to develop advances in analog circuit design, modeling and simulation. The key contributions of the sixteen chapters focus on recent advances in analog
Knowledge-based Artificial Neural Network for Process Modelling and Control
Language: en
Pages: 704
Authors: Gary M. Scott
Categories: Technology & Engineering
Type: BOOK - Published: 1993 - Publisher:

Books about Knowledge-based Artificial Neural Network for Process Modelling and Control