Intelligent Estimation
eBook - ePub

Intelligent Estimation

A Soft Computing Paradigm

  1. 312 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Intelligent Estimation

A Soft Computing Paradigm

About this book

Intelligent Estimation: A Soft Computing Paradigm presents a unified treatment of a new soft computing framework using AI-based approaches for system identification, parameter estimation, and filtering. This Neuro-Fuzzy-GA-based methodology, succinctly referred to as Intelligent Estimation (IE), integrates these estimation and filtering tasks within a single paradigm.

Offering a thorough understanding of soft computing-based estimation concepts and theory, the book discusses a modelling-control-system approach with numerous practical applications in solving mathematical modelling problems for industrial and aerospace engineering systems. It delves into theory, concepts, and various ramifications of neural networks, fuzzy logic, and genetic algorithms for modelling, system identification, filtering, and estimation.

This book is intended for upper-level undergraduate and graduate engineering students studying soft computing, intelligent systems, and advanced control systems in industry applications.

Instructors will be able to utilize a solutions manual and figure slides for their course.

Information

Publisher
CRC Press
Year
2026
Print ISBN
9781041018230
Edition
1
eBook ISBN
9781040675359
Topic
Computer Science
Subtopic
Artificial Intelligence (AI) & Semantics
Index
Computer Science

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Acknowledgements
  8. About the Authors
  9. 1 Introduction: Intelligent Estimation
  10. 2 Concepts and Theory of Artificial Neural Networks
  11. 3 System Identification
  12. 4 Filtering and Parameter Estimation
  13. 5 Fuzzy Logic-based Approaches
  14. 6 System Identification and Estimation with Fuzzy Logic/system
  15. 7 Concept and Theory of Genetic Algorithms (GAs)
  16. 8 Estimation with Genetic Algorithms (GAs)
  17. 9 Hybrid Methods-NN-FL-GA triad Paradigm
  18. Appendix A Key Theorems in System Identification, Filtering, and State & Parameter Estimation
  19. Appendix B Theorem in Soft Computing
  20. Appendix C Procedure of Building an AI System
  21. Index

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Yes, you can access Intelligent Estimation by Jitendra R. Raol,Sara M. George in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.