IEEE Communications Magazine

Issue 9 • Sept. 1992

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  • Neural-network learning and Mark Twain's cat

    Publication Year: 1992, Page(s):16 - 23
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (989 KB)

    In current practice in the engineering community, neural networks are used as only one useful class of adaptive pattern recognizer. Neural networks, however, are far more than devices that can learn accurate input-output transformation or form good category boundaries for pattern classifiers. They are a new form of computer, good at some unfamiliar problems, but quite poor at some familiar ones. A... View full abstract»

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  • Computing with uncertainty

    Publication Year: 1992, Page(s):24 - 36
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2010 KB)

    The role of and interaction between statistical, fuzzy, and neural-like models for certain problems associated with the three main areas of pattern recognition system design are discussed. Some questions concerning fuzzy sets are answered, and the design of fuzzy pattern recognition systems is reviewed. Pattern recognition, statistical pattern recognition and fuzzy pattern recognition systems are ... View full abstract»

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  • A self-organizing neural network for supervised learning, recognition, and prediction

    Publication Year: 1992, Page(s):38 - 49
    Cited by:  Papers (104)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1716 KB)

    Fuzzy ARTMAP, one of a rapidly growing family of attentive self-organizing learning, hypothesis testing, and prediction systems that have evolved from the biological theory of cognitive information processing of which ART forms an important part is discussed. It is shown that this architecture is capable of fast but stable online recognition learning, hypothesis testing and adaptive naming in resp... View full abstract»

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  • Neural networks: an engineering perspective

    Publication Year: 1992, Page(s):50 - 53 vol.2
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (366 KB)

    The development and application of neural networks are presented from an engineering perspective. It is stated that neural computing is a collection of mathematical techniques that have been gaining growing acceptance as plug-compatible replacements for statistical and other data-modeling techniques. Two of these techniques, function approximation and clustering, are discussed. The forces shaping ... View full abstract»

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Huawei Technologies