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Artificial Neural Networks for Prediction

Artificial Neural Networks for Prediction

Rafael Marti
Copyright: © 2005 |Pages: 5
ISBN13: 9781591405573|ISBN10: 1591405572|EISBN13: 9781591405597
DOI: 10.4018/978-1-59140-557-3.ch011
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MLA

Marti, Rafael. "Artificial Neural Networks for Prediction." Encyclopedia of Data Warehousing and Mining, edited by John Wang, IGI Global, 2005, pp. 54-58. https://doi.org/10.4018/978-1-59140-557-3.ch011

APA

Marti, R. (2005). Artificial Neural Networks for Prediction. In J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining (pp. 54-58). IGI Global. https://doi.org/10.4018/978-1-59140-557-3.ch011

Chicago

Marti, Rafael. "Artificial Neural Networks for Prediction." In Encyclopedia of Data Warehousing and Mining, edited by John Wang, 54-58. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-557-3.ch011

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Abstract

The design and implementation of intelligent systems with human capabilities is the starting point to design Artificial Neural Networks (ANNs). The original idea takes after neuroscience theory on how neurons in the human brain cooperate to learn from a set of input signals to produce an answer. Because the power of the brain comes from the number of neurons and the multiple connections between them, the basic idea is that connecting a large number of simple elements in a specific way can form an intelligent system.

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