Advertisement

© 2010

Applying Computational Intelligence

How to Create Value

Book

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Computational Intelligence in a Nutshell

    1. Front Matter
      Pages 1-1
    2. Arthur K. Kordon
      Pages 3-30
    3. Arthur K. Kordon
      Pages 51-72
    4. Arthur K. Kordon
      Pages 115-144
    5. Arthur K. Kordon
      Pages 145-174
  3. Computational Intelligence Creates Value

    1. Front Matter
      Pages 202-202
    2. Arthur K. Kordon
      Pages 203-231
    3. Arthur K. Kordon
      Pages 257-276
  4. Computational Intelligence Application Strategy

    1. Front Matter
      Pages 278-278
    2. Arthur K. Kordon
      Pages 279-309
    3. Arthur K. Kordon
      Pages 311-341
    4. Arthur K. Kordon
      Pages 343-373
  5. The Future of Computational Intelligence

    1. Front Matter
      Pages 406-406

About this book

Introduction

In theory, there is no difference between theory and practice. But, in practice, there is. Jan L. A. van de Snepscheut The ?ow of academic ideas in the area of computational intelligence has penetrated industry with tremendous speed and persistence. Thousands of applications have proved the practical potential of fuzzy logic, neural networks, evolutionary com- tation, swarm intelligence, and intelligent agents even before their theoretical foundation is completely understood. And the popularity is rising. Some software vendors have pronounced the new machine learning gold rush to “Transfer Data into Gold”. New buzzwords like “data mining”, “genetic algorithms”, and “swarm optimization” have enriched the top executives’ vocabulary to make them look more “visionary” for the 21st century. The phrase “fuzzy math” became political jargon after being used by US President George W. Bush in one of the election debates in the campaign in 2000. Even process operators are discussing the perf- mance of neural networks with the same passion as the performance of the Dallas Cowboys. However, for most of the engineers and scientists introducing computational intelligence technologies into practice, looking at the growing number of new approaches, and understanding their theoretical principles and potential for value creation becomes a more and more dif?cult task.

Keywords

Artificial intelligence Business intelligence Computational intelligence Data mining Empirical modeling Evolutionary computing Fuzzy systems Industrial applications Machine learning Natural computing Optimization Process monitoring Six Sigma;

Authors and affiliations

  1. 1.Dow Chemical CompanyFreeportU.S.A.

About the authors

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.

Bibliographic information

Industry Sectors
Automotive
Chemical Manufacturing
Biotechnology
IT & Software
Telecommunications
Law
Consumer Packaged Goods
Pharma
Materials & Steel
Finance, Business & Banking
Electronics
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering

Reviews

"This book demonstrates profound understanding regarding the problems and issues associated with technology transfer by bridging two complex worlds: the world of advanced theory of computational intelligence, soft computing, and cybernetics and the world of engineering methodologies, practices, and industrial applications." Dimitar Filev, Ford Research & Advanced Engineering, Dearborn, Michigan, USA

"Kordon comprehensively analyses how to apply computational intelligence to give real return on investment. He devotes complete chapters to comparing CI to traditional approaches and to discussing in what sense CI has a 'competitive advantage'. ... This book is particularly designed for non-expert readers interested in computational intelligence and its applications. Moreover, parts II and III are essential for academic readers without industrial experience. These parts bring together a novel, broad, and useful perspective on the marketing of CI. This will certainly help researchers to design successful strategies to develop and deploy industrial applications, as well as improving presentations to both academic and industrial audiences. ... [The book] represents a great contribution that shows us alternative ways of transferring computational intelligence from the realm of exciting research ideas into a highly competitive generator of intelligent and valuable solutions to real-world problems". (G. Leguizamón, Genetic Programming and Evolvable Machines (2011) 12:85–86)

"[The author] has enjoyed significant success as an industry leader in computational intelligence and with this book he has fulfilled a long-standing need for a pragmatic treatment of the field.  From checklists and prescriptions for application development to advice for overcoming cultural barriers and gaining management buy-in, Applying Computational Intelligence effectively addresses the value creation challenge posed in its subtitle." (Tariq Samad, Honeywell Automation and Control Solutions)