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Advances in Data Analysis with Computational Intelligence Methods: Dedicated to Professor Jacek Żurada Softcover Repri Edition
Contributor(s): Gawęda, Adam E. (Editor), Kacprzyk, Janusz (Editor), Rutkowski, Leszek (Editor)
ISBN: 3319885162     ISBN-13: 9783319885162
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Paperback - Other Formats
Published: August 2018
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Computers | Intelligence (ai) & Semantics
- Technology & Engineering | Engineering (general)
Dewey: 006.3
Series: Studies in Computational Intelligence
Physical Information: 412 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

This book is a tribute to Professor Jacek Żurada, who is best known for his contributions to computational intelligence and knowledge-based neurocomputing. It is dedicated to Professor Jacek Żurada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and for his longstanding service to many communities, notably the computational intelligence community, in particular neural networks, machine learning, data analyses and data mining, but also the fuzzy logic and evolutionary computation communities, to name but a few.

At the same time, the book recognizes and honors Professor Żurada's dedication and service to many scientific, scholarly and professional societies, especially the IEEE (Institute of Electrical and Electronics Engineers), the world's largest professional technical professional organization dedicated to advancing science and technology in a broad spectrum of areas and fields.

The volume is divided into five major parts, the first of which addresses theoretic, algorithmic and implementation problems related to the intelligent use of data in the sense of how to derive practically useful information and knowledge from data. In turn, Part 2 is devoted to various aspects of neural networks and connectionist systems. Part 3 deals with essential tools and techniques for intelligent technologies in systems modeling and Part 4 focuses on intelligent technologies in decision-making, optimization and control, while Part 5 explores the applications of intelligent technologies.