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Analytical Approach to Computational Intelligence

About Analytical Approach to Computational Intelligence

Computational intelligence (CI) refers to computational methodologies and approaches that facilitate the solution of complex real-world problems. These problems are generally too complex to be solved by the classical methods of mathematics or traditional modeling. It operates using the principles of fuzzy logic, artificial neural networks, evolutionary computing, learning theory and probabilistic methods. Computational intelligence uses soft computing techniques which help it function like a human brain. Applications of computer intelligence are diverse. It extends from the fields of computers science and engineering to areas of data analysis and biomedicine. This book aims to provide a fair idea of this discipline and to help develop a better understanding of the latest advances within this field. It attempts to understand the multiple branches that fall under the discipline and how such concepts have practical applications. The extensive content of this book provides the readers with a thorough understanding of the subject.

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  • Language:
  • English
  • ISBN:
  • 9781632408129
  • Binding:
  • Hardback
  • Pages:
  • 251
  • Published:
  • June 19, 2019
  • Dimensions:
  • 279x216x16 mm.
  • Weight:
  • 875 g.
Delivery: 2-3 weeks
Expected delivery: October 5, 2025

Description of Analytical Approach to Computational Intelligence

Computational intelligence (CI) refers to computational methodologies and approaches that facilitate the solution of complex real-world problems. These problems are generally too complex to be solved by the classical methods of mathematics or traditional modeling. It operates using the principles of fuzzy logic, artificial neural networks, evolutionary computing, learning theory and probabilistic methods. Computational intelligence uses soft computing techniques which help it function like a human brain. Applications of computer intelligence are diverse. It extends from the fields of computers science and engineering to areas of data analysis and biomedicine. This book aims to provide a fair idea of this discipline and to help develop a better understanding of the latest advances within this field. It attempts to understand the multiple branches that fall under the discipline and how such concepts have practical applications. The extensive content of this book provides the readers with a thorough understanding of the subject.

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