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Introduction

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Towards Hybrid and Adaptive Computing

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

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Abstract

Soft Computing Systems have undertaken a radical change largely attributed to their widespread use along with a vast research community that has developed over the years. Before beginning the ballad of development of this domain, it is important to get the stage set. This chapter explores the various concepts and terms used in computationally intelligent systems of today. We give a brief introduction to recognition systems, machine learning, expert systems and biometric identification. The major focus of the chapter is upon presenting the application of Soft Computing systems, the manner in which Soft Computing approaches contribute towards the application, and the various problems and issues that the application presents. These issues open gateways for a lot of research for the research community. While the sophisticated Soft Computing systems of today may be able to effectively solve a wide variety of problems, the data availability and computational constraints would always be a limitation for the flawless growth of the soft computing systems.

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Authors
  1. Anupam Shukla
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  2. Ritu Tiwari
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  3. Rahul Kala
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Shukla, A., Tiwari, R., Kala, R. (2010). Introduction. In: Towards Hybrid and Adaptive Computing. Studies in Computational Intelligence, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14344-1_1

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  • DOI: https://doi.org/10.1007/978-3-642-14344-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14343-4

  • Online ISBN: 978-3-642-14344-1

  • eBook Packages: EngineeringEngineering (R0)

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