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Towards Hybrid and Adaptive Computing

A Perspective

  • Anupam Shukla
  • Ritu Tiwari
  • Rahul Kala

Part of the Studies in Computational Intelligence book series (SCI, volume 307)

Table of contents

  1. Front Matter
  2. Simple Computing Techniques

    1. Front Matter
      Pages 1-1
    2. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 3-30
    3. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 31-58
    4. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 59-82
    5. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 83-108
  3. Simple Intelliegent Systems

    1. Front Matter
      Pages 109-109
    2. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 111-128
    3. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 129-151
    4. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 153-173
    5. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 175-184
  4. Evolutionary Computing

    1. Front Matter
      Pages 185-185
    2. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 187-207
    3. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 209-234
    4. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 235-247
    5. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 249-273
  5. Hybrid Computing

    1. Front Matter
      Pages 275-275
    2. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 277-306
    3. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 307-335
    4. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 337-359
    5. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 361-381
  6. Hybrid Intelligent Systems

    1. Front Matter
      Pages 383-383
    2. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 385-399
    3. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 401-418
  7. Other Supplementary Topics

    1. Front Matter
      Pages 419-419
    2. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 421-431
    3. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 433-439
    4. Anupam Shukla, Ritu Tiwari, Rahul Kala
      Pages 441-460

About this book

Introduction

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 limitations. Soft Computing, mainly comprising of Artificial Neural Networks, Evolutionary Computation, and Fuzzy Logic may itself be insufficient to cater to the needs of various kinds of complex problems. In such a scenario, we need to carry out amalgamation of same or different computing approaches, along with heuristics, to make fabulous systems for problem solving. There is further an attempt to make these computing systems as adaptable as possible, where the value of any parameter is set and continuously modified by the system itself. This book first presents the basic computing techniques, draws special attention towards their advantages and disadvantages, and then motivates their fusion, in a manner to maximize the advantages and minimize the disadvantages. Conceptualization is a key element of the book, where emphasis is on visualizing the dynamics going inside the technique of use, and hence noting the shortcomings. A detailed description of different varieties of hybrid and adaptive computing systems is given, paying special attention towards conceptualization and motivation. Different evolutionary techniques are discussed that hold potential for generation of fairly complex systems. The complete book is supported by the application of these techniques to biometrics. This not only enables better understanding of the techniques with the added application base, it also opens new dimensions of possibilities how multiple biometric modalities can be fused together to make effective and scalable systems.

Keywords

Norm artificial neural network evolution evolutionary algorithm evolutionary computation evolutionary strategies fuzzy system genetic algorithm genetic programming heuristics logic neural network problem solving programming swarm intelligence

Authors and affiliations

  • Anupam Shukla
    • 1
  • Ritu Tiwari
    • 1
  • Rahul Kala
    • 1
  1. 1.ABV-IIITMGwaliorIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-14344-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-14343-4
  • Online ISBN 978-3-642-14344-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site