Description

Book Synopsis

This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.

Features:

  • A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)
  • A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)
  • Formulation of the nonlinear model like analysis of ANOVA and response surface methodology
  • Variety of solved problems on ANOVA and RSM
  • Case studies of above mentioned intelligent techniques on the different process control systems

This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.

Artificial Intelligence for Cognitive Modeling

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    Order before 4pm tomorrow for delivery by Tue 9 Jun 2026.

    A Paperback by Pijush Dutta

    1 in stock


      View other formats and editions of Artificial Intelligence for Cognitive Modeling by Pijush Dutta

      Publisher: CRC Press
      Publication Date: 12/19/2024
      ISBN13: 9781032461397, 978-1032461397
      ISBN10: 103246139X

      Description

      Book Synopsis

      This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.

      Features:

      • A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)
      • A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)
      • Formulation of the nonlinear model like analysis of ANOVA and response surface methodology
      • Variety of solved problems on ANOVA and RSM
      • Case studies of above mentioned intelligent techniques on the different process control systems

      This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.

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