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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: David, Vasantha Kalyani (Συγγραφέας), Rajasekaran, Sundaramoorthy (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Studies in Computational Intelligence, 160
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.