Computational Intelligence
eBook - PDF

Computational Intelligence

Theory and Applications

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Computational Intelligence

Theory and Applications

About this book

This book provides a comprehensive exploration of computational intelligence techniques and their applications, offering valuable insights into advanced information processing, machine learning concepts, and their impact on agile manufacturing systems.

Computational Intelligence presents a new concept for advanced information processing. Computational Intelligence (CI) is the principle, architecture, implementation, and growth of machine learning concepts that are physiologically and semantically inspired. Computational Intelligence methods aim to develop an approach to evaluating and creating flexible processing of human information, such as sensing, understanding, learning, recognizing, and thinking. The Artificial Neural Network simulates the human nervous system's physiological characteristics and has been implemented numerically for non-linear mapping. Fuzzy Logic Systems simulate the human brain's psychological characteristics and have been used for linguistic translation through membership functions and bioinformatics. The Genetic Algorithm simulates computer evolution and has been applied to solve problems with optimization algorithms for improvements in diagnostic and treatment technologies for various diseases. To expand the agility and learning capacity of manufacturing systems, these methods play essential roles. This book will express the computer vision techniques that make manufacturing systems more flexible, efficient, robust, adaptive, and productive by examining many applications and research into computational intelligence techniques concerning the main problems in design, making plans, and manufacturing goods in agile manufacturing systems.

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Yes, you can access Computational Intelligence by T. Ananth Kumar,E. Golden Julie,Venkata Raghuveer Burugadda,Abhishek Kumar,Puneet Kumar in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Introduction
  7. Chapter 1 Computational Intelligence Theory: An Orientation Technique
  8. Chapter 2 Nature-Inspired Algorithms for Computational Intelligence Theory—A State-of-the-Art Review
  9. Chapter 3 AI-Based Computational Intelligence Theory
  10. Chapter 4 Information Processing, Learning, and Its Artificial Intelligence
  11. Chapter 5 Computational Intelligence Approach for Exploration of Spatial Co-Location Patterns
  12. Chapter 6 Computational Intelligence-Based Optimal Feature Selection Techniques for Detecting Plant Diseases
  13. Chapter 7 Protein Structure Prediction Using Convolutional Neural Networks Augmented with Cellular Automata
  14. Chapter 8 Modeling and Approximating Renewable Energy Systems Using Computational Intelligence
  15. Chapter 9 Computational Intelligence and Deep Learning in Health Informatics: An Introductory Perspective
  16. Chapter 10 Computational Intelligence for Human Activity Recognition (HAR)
  17. Chapter 11 Computational Intelligence for Multimodal Analysis of High-Dimensional Image Processing in Clinical Settings
  18. Chapter 12 A Review of Computational Intelligence-Based Biometric Recognition Methods
  19. Chapter 13 Seeing the Unseen: An Automated Early Breast Cancer Detection Using Hyperspectral Imaging
  20. Chapter 14 Shedding Light into the Dark: Early Oral Cancer Detection Using Hyperspectral Imaging
  21. Chapter 15 Machine Learning Techniques for Glaucoma Screening Using Optic Disc Detection
  22. Chapter 16 Role of Artificial Intelligence in Marketing
  23. About the Editors
  24. Index
  25. Also of Interest
  26. EULA