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Towards Hybrid and Adaptive Computing A Perspective /

Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering the hostile practical limitation...

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Bibliographic Details
Main Authors: Shukla, Anupam. (Author), Tiwari, Ritu. (Author), Kala, Rahul. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Studies in Computational Intelligence, 307
Subjects:
Engineering.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-14344-1
Table of Contents:
  • UNIT I: SIMPLE COMPUTING TECHNIQUES
  • Chapter 1 Introduction
  • Chapter 2 Artificial Neural Networks
  • Chapter 3 Genetic Algorithm .-Chapter 4 Fuzzy Logic
  • UNIT II: SIMPLE INTELLIEGENT SYSTEMS
  • Chapter 5 Speech Signal Analysis
  • Chapter 6 Intelligent System Design in Speech
  • Chapter 7 Intelligent Systems Design in Music
  • Chapter 8 Intelligent System Design in Face
  • UNIT III: EVOLUTIONARY COMPUTING
  • Chapter 9 Swarm Intelligence
  • Chapter 10 Genetic Programming
  • Chapter 11 Evolutionary Strategies
  • Chapter 12 Other Evolutionary Concepts
  • UNIT IV: HYBRID COMPUTING
  • Chapter 13 Evolutionary Neural and Fuzzy Systems
  • Chapter 14 Modular Neural Networks
  • Chapter 15 Hybridizing Neural and Fuzzy Systems
  • Chapter 16 Hierarchal Evolutionary Algorithms
  • UNIT V: HYBRID INTELLIGENT SYSTEMS
  • Chapter 17 Fusion Methods in Biometrics
  • Chapter 18 Multimodal Biometric Systems
  • UNIT VI: OTHER SUPPLEMENTARY TOPICS.-Chapter 19 Adaptive Systems
  • Chapter 20 A Taxonomy of Models
  • Chapter 21 A Programmers Approach.

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