Business Applications and Computational Intelligence.1591407036 Business applications and computational intelligence Computational intelligence (CI) is a successor of artificial intelligence. As an alternative to GOFAI it rather relies on heuristic algorithms such as in Fuzzy systems, Neural networks and Evolutionary computation. . Ed. by Kevin Voges and Nigel Pope. Idea Group Publishing 2006 481 pages $74.95 Paperback HF5548 This collection illustrates the application of expert systems, artificial neural networks (artificial intelligence) artificial neural network - (ANN, commonly just "neural network" or "neural net") A network of many very simple processors ("units" or "neurons"), each possibly having a (small amount of) local memory. , fuzzy systems, rough sets, evolutionary algorithms, and multi-agent systems to practical business problems in marketing, production and operations, data mining, management, and finance. Topics of the 22 contributions include a heuristic A method of problem solving using exploration and trial and error methods. Heuristic program design provides a framework for solving the problem in contrast with a fixed set of rules (algorithmic) that cannot vary. 1. genetic algorithm genetic algorithm - (GA) An evolutionary algorithm which generates each individual from some encoded form known as a "chromosome" or "genome". Chromosomes are combined or mutated to breed new individuals. for product portfolio planning, modeling brand choice using boosted and stacked neural networks, artificial intelligence in electricity market operations, visual data mining for discovering association rules, and online methods for portfolio selection. ([c]20062005 Book News, Inc., Portland, OR) |
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