Neural networks : algorithms, applications, and programming techniques

By:

Freeman, James A

Contributor(s):

Skapura, David M

Material type: Text

TextLanguage: English Series: Always LearningPublication details: Noida : Pearson Education, 1991.Edition: James A Freeman; David M SkapuraDescription: xiii, 401 pages : illustrations ; 24 cmISBN:

9788131708088

Subject(s):

DDC classification:

006.3 FRE

Contents:

Introduction to ANS Technology Adaline and Madaline Backpropagation The BAM and the Hopfield Memory Simulated Annealing The Counterpropagation Network Self-Organizing Maps Adaptive Resonance Theory Spatiotemporal Pattern Classification The Neocognition

Summary: This Book provides a solid and practical introductions to neural networks—computational models inspired by the brain. The authors explain the basic concepts and technology underlying such models, then show how these models can be applied to the solution of diverse problems in science and engineering. The book's aim is not to explore every corner of current and future research, but to focus on what works and to present techniques useful for solving real problems.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
General Books	CUTN Central Library Generalia	Non-fiction	006.3 FRE (Browse shelf(Opens below))	Available		36666

Introduction to ANS Technology
Adaline and Madaline
Backpropagation
The BAM and the Hopfield Memory
Simulated Annealing
The Counterpropagation Network
Self-Organizing Maps
Adaptive Resonance Theory
Spatiotemporal Pattern Classification
The Neocognition

This Book provides a solid and practical introductions to neural networks—computational models inspired by the brain. The authors explain the basic concepts and technology underlying such models, then show how these models can be applied to the solution of diverse problems in science and engineering. The book's aim is not to explore every corner of current and future research, but to focus on what works and to present techniques useful for solving real problems.

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