By Kevin E. Voges, Nigel K. Ll Pope

ISBN-10: 1591407028

ISBN-13: 9781591407027

ISBN-10: 1591407036

ISBN-13: 9781591407034

ISBN-10: 1591407044

ISBN-13: 9781591407041

Computational intelligence has a protracted background of functions to company - specialist platforms were used for determination help in administration, neural networks and fuzzy common sense were utilized in strategy regulate, quite a few options were utilized in forecasting, and knowledge mining has develop into a center section of patron courting administration in advertising. whereas there's literature in this box, it truly is unfold over many disciplines and in lots of assorted courses, making it tricky to discover the pertinent details in a single resource. company functions and Computational Intelligence addresses the necessity for a compact evaluate of the range of purposes in a couple of company disciplines, and contains chapters written via major overseas researchers. Chapters conceal such a lot fields of commercial, together with: advertising and marketing, facts mining, e-commerce, construction and operations, finance, decision-making, and basic administration. company purposes and Computational Intelligence presents a accomplished evaluate of study into computational intelligence purposes in enterprise, making a robust consultant for either newbies and skilled researchers.

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We are using a neural network to predict sales levels of newly released products to allow distributors and retailers to choose the right stocking levels. The effect on sales of the factors that we can measure is non-linear, which means that we do not know how those factors would lead to sales levels that were any higher than those we have seen already. The system is constrained to predicting sales levels up to the maximum that it has already seen. If a new product is released in the future, and sells more than the best selling product that we have currently seen, we will fall short in our prediction.

In the process they would replace the very core of their business with a new technology, perhaps with the result that their old skills become obsolete. A graphic designer, however, would not want to buy a system that could automatically produce logos from a written brief, no matter how clever the technology. Our experience has shown that many of these problems can be overcome if the right kind of simplification is applied to the sales pitch. That is not to say that technical details should be avoided or that buyers should be considered stupid.

Effectively, the power of the CI system derives from its ability to generalize from what it has seen in the past to make sensible judgements about new situations. A typical example of this scenario would be the use of a computational intelligence technique such as a neural network (Bishop, 1995; Hecht-Neilsen, 1990; Hertz, Krogh, & Palmer, 1991) to predict who might buy a product based on prior sales of the product. Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc.

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Business Applications And Computational Intelligence by Kevin E. Voges, Nigel K. Ll Pope

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