Knowledge-Based Neurocomputing

Author/creator Cloete, Ian Editor
Other author Zurada, Jacek M. Editor
Format Electronic
Publication InfoCambridge : MIT Press
Description500 p. ill 09.900 x 08.200 in.
Supplemental ContentFull text available from MIT Press Direct to Open Backfile STEAM Monographs D2O
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Summary Annotation <p>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.</p>
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 99041770
ISBN9780262032742
ISBN0262032740 (Trade Cloth) Active Record
Standard identifier# 9780262032742
Stock number00015994

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