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Artificial Intelligence for Cognitive Modeling: Theory and Practice

$10.00
Artificial Intelligence for Cognitive Modeling: Theory and Practice
Buy an Access Account and Enjoy More Downloads! Click for details.

Artificial Intelligence for Cognitive Modeling: Theory and Practice

$10.00

(Chapman & Hall/CRC Internet of Things) 1st Edition 

by Pijush Dutta (Author), Souvik Pal (Author), Asok Kumar (Author), Korhan Cengiz (Author) 

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.

Year:
2023
Pages:
295
Language:
English
Format:
PDF
Size:
27 MB
ISBN-10:
1032105704
ISBN-13:
9781032461397, 9781003216001, 978-1-032-10570-3, 978-1-032-46139-7, 978-1-003-21600-1, 978-1032105703
ASIN:
B0BX7F21X2
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