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Synopsis
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.
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About the Author
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.
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- PublisherSpringer
- Publication date2014
- ISBN 10 3642424260
- ISBN 13 9783642424267
- BindingPaperback
- LanguageEnglish
- Number of pages481
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Applying Computational Intelligence : How to Create Value
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Applying Computational Intelligence
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 484 pp. Englisch. Seller Inventory # 9783642424267
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Author offers a very clear explanation of the key computational intelligence techniques and writes with authority about how these can deliver value in industryArthur K. Kordon is a Data Mining and Modeling Leader in the Data Mining and Modeling Capab. Seller Inventory # 11800682
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783642424267
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Applying Computational Intelligence
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 484 pp. Englisch. Seller Inventory # 9783642424267
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