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CAIRO BOOKS's Description
This book shows how wavelets can be used to enhance computational intelligence
for chaotic and complex pattern recognition problems. By integrating wavelets
with other soft computing techniques such as neurocomputing and fuzzy logic,
complicated and noisy pattern recognition problems can be solved effectively.
The book focuses on applications in intelligent transportation systems (ITS)
where a number of very complicated pattern recognition problems have eluded
researchers over the past few decades.
Advancing the frontiers of computational intelligence, this book: Describes
ingenious computational models based on novel problem solving and computing
techniques such as Case-Based Reasoning, Neurocomputing, and Wavelets, and
presents examples to illustrate their importance and use. Presents a
multi-paradigm intelligent systems approach to the freeway traffic incident
detection and construction work zone management problems. Advocates application
and integration of wavelets, neural networks and fuzzy logic for modeling the
complex traffic flow behaviors leading to effective and efficient control and
management solutions. Presents efficient, reliable, and robust algorithms for
automatic detection of incidents on freeways.
Wavelets in Intelligent Transportation Systems is an invaluable resource for
computational intelligence researchers and transportation engineers involved in
the application of advanced computational techniques for ITS.