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Introduction to Soft Computing

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Language:  English
Introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning and partial truth in order to achieve close resemblance to humanlike decision making
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Description
Content

This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making. Soft Computing is a new multidisciplinary field, to construct new generation of Artificial Intelligence, known as Computational Intelligence.

Abstract

  1. What does Soft Computing mean?
    1. Definition of Soft Computing
    2. Conception of Soft Computing
    3. Importance of Soft Computing
    4. The Soft Computing – development history
  2. Fuzzy Computing
    1. Fuzzy sets
    2. Fuzzy control
  3. Evolutionary Computing
    1. Evolutionary algorithms
    2. Genetic algorithms
    3. Genetic programming
    4. Differential evolution
  4. Neural Computing
    1. The brain as an information processing system
    2. Introduction to neural networks
    3. The perceptron
    4. Multilayer networks
    5. Kohonen self-organizing maps
    6. Hopfield networks
  5. Probabilistic Computation
  6. Conclusion
  7. References
  8. List of Figures
  9. List of Tables
  10. Endnotes
About the Author

Eva Volna

EVA VOLNA is an associate professor at the Department of Computer Science at University of Ostrava, Czech Republic. Her interests include artificial intelligence, artificial neural networks, evolutionary algorithms, and cognitive science. She is an author of more than 50 papers in technical journals and proceedings of conferences.

doc. RNDr. PaedDr. Eva Volná, PhD.

Dept. of Computer Science

University of Ostrava

30th dubna st. 22

701 03 Ostrava

CZECH REPUBLIC

Phone: +420 597 092 184