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...
Main Authors: | , |
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Corporate Author: | |
Format: | Electronic |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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Series: | Studies in Computational Intelligence,
160 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-85130-1 |
Table of Contents:
- Introduction
- Review of Architectures Relevant to the Investigation
- Recognition of English and Tamil Alphabets Using Kohonens Self-Organizing Map
- Adaptive Resonance Theory Networks
- Applications of MicroARTMAP
- Wavelet Transforms and MicroARTMAP
- Gesture and Signature Recognition Using MicroARTMAP
- Solving Scheduling Problems with Competitive Hopfield Neural Networks
- Functional Networks
- Conclusions and Suggestions for Future Work.