Series Editor: David B. Fogel
Director/Co-Founder
Effect Technologies, Inc.
david.fogel@effectcheck.
Dr. David Fogel is an internationally recognized scientist, speaker, and engineer. He holds a Ph.D. in engineering from UCSD (1992) and a B.S. in mathematics (statistics) from UCSB (1985). In 1999, he was elevated to the status of IEEE Fellow, the second-youngest Fellow in the history of the world’s largest organization of professional engineers. In 2004, he received an IEEE Technical Field Award, and he has received numerous other distinctions, including San Diego Distinguished Scientist of the Year from Sigma Xi, the CajAstur Prize for Soft Computing (20,000 euros), and he received an honorary doctorate in 2008 from the University of Pretoria. In 2009, Dr. Fogel was named one of the top100 most influential alumni in the then 50-year history of the University of California at San Diego. In 2014, Dr. Fogel was recognized as an “AI Hero” by the 150-member artificial intelligence team at Lockheed Martin.
Some of Dr. Fogel’s experience includes:
- Nearly 200 plenary/invited lectures at diverse venues
- 30+ years of pioneering contributions in computational intelligence
- Author of 8 books and over 200 technical publications
- Founding editor-in-chief, IEEE Transactions on Evolutionary Computation (1996-2002)
- Editor-in-chief, BioSystems (2002-2008)
- Co-founder of multiple AI companies, including Natural Selection, Inc. and Effect Technologies, Inc. (maker of EffectCheck)
- Successful exit of Natural Selection Financial, Inc. (IP acquired by Lincoln Vale), led to managing almost $60M of institutional and other funds
- Inventor of 10+ patents
- Principal investigator on Natural Selection, Inc.’s development of FDA’s PREDICT food screening system
- Consultant to technology, financial, legal, medical writing, and estate planning firms
Series Editor's Choice
James M. Keller, Derong Liu, David B. Fogel
July 2016
Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another
This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation.
- Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks
- Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals
- Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence
- Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems
Fundamentals of Computational Intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.