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Artificial Intelligence for Cognitive Modeling (eBook, PDF) - Dutta, Pijush; Pal, Souvik; Kumar, Asok; Cengiz, Korhan
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  • Format: PDF

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…mehr

  • Geräte: PC
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  • Größe: 26.59MB
Produktbeschreibung
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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