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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| Hlavní autoři: | , |
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| Další autoři: | |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2009. |
| Edice: | Studies in Computational Intelligence
160 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Pattern recognition using neural and functional networks, Vasantha Kalyani David, Sundaramoorthy Rajasekaran, Berlin, Springer, 2009, 1 vol. (XXII-181 p.), Studies in computational intelligence, 978-3-540-85129-5 |
Obsah:
- 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