9783662003893 - Fuzzy and Neuro-Fuzzy Intelligent Systems: 47 (Studies in Fuzziness and Soft Computing) de Czogala, Ernest; Leski, Jacek (7 resultados)

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intelligence systems. We perfonn routine tasks on a daily basis, as for example: - recognition of faces of persons (also faces not seen for many years), - identification of dangerous situations during car driving, - deciding to buy or sell stock, - reading hand-written symbols, - discriminating between vines made from Sauvignon Blanc, Syrah or Merlot grapes, and others. Human experts carry out the following: - diagnosing diseases, - localizing faults in electronic circuits, - optimal moves in chess games. It is possible to design artificial systems to replace or 'duplicate' the human expert. There are many possible definitions of intelligence systems. One of them is that: an intelligence system is a system able to make decisions that would be regarded as intelligent ifthey were observed in humans. Intelligence systems adapt themselves using some example situations (inputs of a system) and their correct decisions (system's output). The system after this learning phase can make decisions automatically for future situations. This system can also perfonn tasks difficult or impossible to do for humans, as for example: compression of signals and digital channel equalization. 212 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intelligence systems. We perfonn routine tasks on a daily basis, as for example: - recognition of faces of persons (also faces not seen for many years), - identification of dangerous situations during car driving, - deciding to buy or sell stock, - reading .

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Intelligence systems. We perfonn routine tasks on a daily basis, as for example: ¿ recognition of faces of persons (also faces not seen for many years), ¿ identification of dangerous situations during car driving, ¿ deciding to buy or sell stock, ¿ reading hand-written symbols, ¿ discriminating between vines made from Sauvignon Blanc, Syrah or Merlot grapes, and others. Human experts carry out the following: ¿ diagnosing diseases, ¿ localizing faults in electronic circuits, ¿ optimal moves in chess games. It is possible to design artificial systems to replace or 'duplicate' the human expert. There are many possible definitions of intelligence systems. One of them is that: an intelligence system is a system able to make decisions that would be regarded as intelligent ifthey were observed in humans. Intelligence systems adapt themselves using some example situations (inputs of a system) and their correct decisions (system's output). The system after this learning phase can make decisions automatically for future situations. This system can also perfonn tasks difficult or impossible to do for humans, as for example: compression of signals and digital channel equalization.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Intelligence systems. We perfonn routine tasks on a daily basis, as for example: - recognition of faces of persons (also faces not seen for many years), - identification of dangerous situations during car driving, - deciding to buy or sell stock, - reading hand-written symbols, - discriminating between vines made from Sauvignon Blanc, Syrah or Merlot grapes, and others. Human experts carry out the following: - diagnosing diseases, - localizing faults in electronic circuits, - optimal moves in chess games. It is possible to design artificial systems to replace or 'duplicate' the human expert. There are many possible definitions of intelligence systems. One of them is that: an intelligence system is a system able to make decisions that would be regarded as intelligent ifthey were observed in humans. Intelligence systems adapt themselves using some example situations (inputs of a system) and their correct decisions (system's output). The system after this learning phase can make decisions automatically for future situations. This system can also perfonn tasks difficult or impossible to do for humans, as for example: compression of signals and digital channel equalization.