Pattern Recognition Using Neural and Functional Networks

The concept of pattern is universal in intelligence and discovery. The patterns in biological data contain knowledge. Discrimination of signal pattern allows personal identification by voice, hand writing, finger prints, facial images, recognition of speech, written characters and also scenes in ima...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: David, Vasantha Kalyani (Author), Rajasekaran, S. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Studies in Computational Intelligence, 160
Subjects:
Engineering mathematics.
Engineering-Data processing.
Software engineering.
Mathematical and Computational Engineering Applications.
Software Engineering.
Online Access:Texto Completo
Table of Contents:
  • Retracted Chapter: Introduction
  • Retracted Chapter: Review of Architectures Relevant to the Investigation
  • Retracted Chapter: Recognition of English and Tamil Alphabets Using Kohonen's Self-organizing Map
  • Retracted Chapter: Adaptive Resonance Theory Networks
  • Retracted Chapter: Applications of MicroARTMAP
  • Retracted Chapter: Wavelet Transforms and MicroARTMAP
  • Retracted Chapter: Gesture and Signature Recognition Using MicroARTMAP
  • Retracted Chapter: Solving Scheduling Problems with Competitive Hopfield Neural Networks
  • Retracted Chapter: Functional Networks
  • Retracted Chapter: Conclusions and Suggestions for Future Work
  • Erratum to: Pattern Recognition Using Neural and Functional Networks.

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