Progress in Neural Networks, Volume Three

Author:   Omid M. Omidvar
Publisher:   Intellect
Volume:   Vol 3
ISBN:  

9780893919658


Pages:   200
Publication Date:   01 May 1994
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Progress in Neural Networks, Volume Three


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Full Product Details

Author:   Omid M. Omidvar
Publisher:   Intellect
Imprint:   Intellect Books
Volume:   Vol 3
Dimensions:   Width: 15.90cm , Height: 2.90cm , Length: 23.80cm
Weight:   0.786kg
ISBN:  

9780893919658


ISBN 10:   0893919659
Pages:   200
Publication Date:   01 May 1994
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Neural specification of a general purpose vision system; filtering - invariance, maximum information extraction and learning; connectionist models of human short-term memory; a template based implementation of connectionist knowledge based systems for classification and learning; a 3-D connectionist approach to parallel activation learnings for target recognitions; relational neural structures; dynamic and static numerical modelling of actual gradient-type neural networks; neural network database systems for genetic sequence analysis; brain building -the genetic programming of artificial nervous systems and artificial embryos; self-organizing neural network character recognition using adaptive filtering and feature extraction; deterministic neural networks for combinatorial optimization; recognition of dynamic patterns by a synergetic computer; extended conjunctoid theory and implementation - a general model for machine cognition based on categorical data.

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