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Fundamental Simulation Methodologies Dwelling in Neural Networks: Algorithms, MATLAB Source Codes and Outputs - Couverture souple

Maheshwari, Uma; Rebello, Santhosh

 
9783844325799: Fundamental Simulation Methodologies Dwelling in Neural Networks: Algorithms, MATLAB Source Codes and Outputs
Couverture souple
ISBN 10 : 3844325794 ISBN 13 : 9783844325799
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Neural networks are processing devices which are either algorithms or actual hard wares. Their designs are motivated by the design and functioning of human brains and components thereof. Neural networks provide improved performance over conventional technologies in the areas of machine vision, robust pattern detection, signal filtering, virtual reality, data segmentation, data compression, data mining, text mining, artificial life, adaptive control, optimization and scheduling, complex mapping and many more. In this book the fundamental simulation methodologies of the neural networks - McCulloch Pitts neuron model, Hebb's network, perceptron network, ADALINE neuron model, MADALINE neurons model, hetero associative memory network, auto associative memory network, bidirectional associative memory network, discrete Hopfield network, back propagation network, self organizing map network, learning vector quantization network, max net, mexican hat network, hamming net and counter propagation network are described and illustrated with the help of algorithms, MATLAB source codes and outputs.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Neural networks are processing devices which are either algorithms or actual hard wares. Their designs are motivated by the design and functioning of human brains and components thereof. Neural networks provide improved performance over conventional technologies in the areas of machine vision, robust pattern detection, signal filtering, virtual reality, data segmentation, data compression, data mining, text mining, artificial life, adaptive control, optimization and scheduling, complex mapping and many more. In this book the fundamental simulation methodologies of the neural networks - McCulloch Pitts neuron model, Hebb's network, perceptron network, ADALINE neuron model, MADALINE neurons model, hetero associative memory network, auto associative memory network, bidirectional associative memory network, discrete Hopfield network, back propagation network, self organizing map network, learning vector quantization network, max net, mexican hat network, hamming net and counter propagation network are described and illustrated with the help of algorithms, MATLAB source codes and outputs.

Biographie de l'auteur

Uma Maheshwari is a Lecturer in Department of Bioinformatics at AIMIT, Mangalore, India since 2007. Santhosh Rebello is the Dean and Chairman of BoS & BoE of PG Departments of Information Technology at AIMIT, Mangalore, India since 2005. Their Research Interests include Soft Computing: Neural Networks, Fuzzy logic & Genetic Algorithms.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844325794
ISBN 13 
9783844325799
Reliure
Broché
Nombre de pages
136
Coordonnées du fabricant
non disponible
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