Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Fuzzy and Neuro-Fuzzy Intelligent Systems

Fuzzy and Neuro-Fuzzy Intelligent Systems

Czogala, Ernest
Leski, Jacek

Paperback

Series: Studies in Fuzziness and Soft Computing, Book 47

Business GeneralGeneral ComputersGeneral Gardening

ISBN10: 3662003899
ISBN13: 9783662003893
Publisher: Springer Nature
Published: Aug 2 2012
Pages: 195
Weight: 0.67
Height: 0.45 Width: 6.14 Depth: 9.21
Language: English
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.

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