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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
|
| Edición: | 1st ed. 2009. |
| Colección: | Studies in Computational Intelligence,
160 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.