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This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters.  The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non-AI professionals, and researchers.  Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.

Illustrated Computational Intelligence: Examples and Applications

Introduction to Traditional AI.- Soft Computing Fundamentals.- Examples Based on Fuzzy Logic Systems.- Examples Based on Artificial Neural Network.- Examples Based on Genetic Algorithms.- Examples Based on Hybrid Intelligent Systems.