News
New Book
Applied Computational Intelligence: How to Create Value
Arthur Kordon, Springer Verlag, 481 pp., Hardcover, December 2009
ISBN: 978-3-540-69910-1
http://www.springer.com/978-3-540-69910-1
DESCRIPTION
The flow of academic ideas in the area of computational intelligence is impacting industrial practice at considerable speed. Practitioners face the challenge of tracking, understanding and applying the latest techniques,which often prove their value even before the underlying theories are fully understood. This book offers realistic guidelines on creating value from the application of computational intelligence methods.
In Part I, the author offers simple explanations of the key computational intelligence technologies: fuzzy logic, neural networks, support vector machines, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he defines the typical business environment and analyzes the competitive advantages these techniques offer. In Part III, he introduces a methodology for effective real-world application of computational intelligence while minimizing development cost, and he outlines the critical, underestimated technology marketing efforts required. The methodology can improve the existing capabilities of Six Sigma, one of the most popular work processes in industry. Finally, in Part IV the author looks to technologies still in the research domain, such as perception-based computing, artificial immune systems, and systems with evolved structure, and he examines the future for computational intelligence applications while taking into account projected industrial needs.
The author adopts a light tone in the book, visualizes many of the techniques and ideas, and supports the text with notes from successful implementations. The book is ideal for engineers implementing these techniques in the real world, managers charged with creating value and reducing costs in the related industries, and scientists in computational intelligence looking towards the application of their research.
TABLE OF CONTENTS:
Part I: Computational Intelligence for the Masses
Chapter 1: Computational vs. Artificial Intelligence.
Chapter 2: A Roadmap Through the Computational Intelligence Maze.
Chapter 3: Fuzzy Systems: Lets Get Fuzzy.
Chapter 4: Machine Learning: The Ghost in the Learning Machine.
Chapter 5. Evolutionary Computation: The Profitable Gene.
Chapter 6: Swarm Intelligence: The Benefits of the Swarms.
Chapter 7: Intelligent Agents: The Computer Intelligence Agency (CIA).
Part II: Computational Intelligence Creates Value
Chapter 8: Why We Need Intelligent Solutions?.
Chapter 9: Competitive Advantages of Computational Intelligence.
Chapter 10: Issues in Applying Computational Intelligence.
Part III: Computational Intelligence Application Strategy
Chapter 11: Integrate & Conquer.
Chapter 12: How to Apply Computational Intelligence?.
Chapter 13: Computational Intelligence Marketing.
Chapter 14: Examples of Computational Intelligence Industrial
Applications.
Part IV: The Future of Applied Computational Intelligence
Chapter 15: Future Directions of Applied Computational Intelligence
Glossary
Index
Arthur K. Kordon is a Data Mining and Modeling Leader in the Data Mining and Modeling Capability of The Dow Chemical Company. He is an internationally recognized expert in applying emerging technologies in industry, and has given talks and chaired panels on the topic at the major computational intelligence conferences such as WCCI and GECCO. He has successfully introduced several novel technologies for improved manufacturing and new product design in the chemical industry, and his research interests include application issues of computational intelligence, robust empirical modeling, intelligent process monitoring and control, and data mining.