Knowledge-Based Neurocomputing 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Knowledge-Based Neurocomputing

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Cloete, Ian; Zurada, Jacek M.; Zurada, J. M. 作者
The MIT Press
译者
2000-02-25 出版日期
500 页数
USD 68.00 价格
Hardcover
丛书系列
9780262032742 图书编码

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Knowledge-Based Neurocomputing 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. Explicit modeling of the knowledge represented by such a system remains a major research topic. The reason is that humans find it difficult to interpret the numeric representation of a neural network.The key assumption of knowledge-based neurocomputing is that knowledge is obtainable from, or can be represented by, a neurocomputing system in a form that humans can understand. That is, the knowledge embedded in the neurocomputing system can also be represented in a symbolic or well-structured form, such as Boolean functions, automata, rules, or other familiar ways. The focus of knowledge-based computing is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.Contributors : C. Aldrich, J. Cervenka, I. Cloete, R. A. Cozzio, R. Drossu, J. Fletcher, C. L. Giles, F. S. Gouws, M. Hilario, M. Ishikawa, A. Lozowski, Z. Obradovic, C. W. Omlin, M. Riedmiller, P. Romero, G. P. J. Schmitz, J. Sima, A. Sperduti, M. Spott, J. Weisbrod, J. M. Zurada.

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