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Computer

Issue 3 • Date March 1988

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Displaying Results 1 - 8 of 8
  • The 'neural' phonetic typewriter

    Publication Year: 1988, Page(s):11 - 22
    Cited by:  Papers (180)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1274 KB)

    The factors that make speech recognition difficult are examined, and the potential of neural computers for this purpose is discussed. A speaker-adaptive system that transcribes dictation using an unlimited vocabulary is presented that is based on a neural network processor for the recognition of phonetic units of speech. The acoustic preprocessing, vector quantization, neural network model, and sh... View full abstract»

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  • Neural nets for adaptive filtering and adaptive pattern recognition

    Publication Year: 1988, Page(s):25 - 39
    Cited by:  Papers (166)  |  Patents (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1097 KB)

    The adaptive linear combiner (ALC) is described, and practical applications of the ALC in signal processing and pattern recognition are presented. Six signal processing examples are given, which are system modeling, statistical prediction, noise canceling, echo canceling, universe modeling, and channel equalization. Adaptive pattern recognition using neural nets is then discussed. The concept invo... View full abstract»

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  • VLSI implementation of a neural network model

    Publication Year: 1988, Page(s):41 - 49
    Cited by:  Papers (64)  |  Patents (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (962 KB)

    The authors describe a complementary metal-oxide-semiconductor (CMOS) very-large-scale integrated (VLSI) circuit implementing a connectionist neural-network model. It consists of an array of 54 simple processors fully interconnected with a programmable connection matrix. This experimental design tests the behavior of a large network of processors integrated on a chip. The circuit can be operated i... View full abstract»

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  • Computing motion using analog and binary resistive networks

    Publication Year: 1988, Page(s):52 - 63
    Cited by:  Papers (136)  |  Patents (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1192 KB)

    The authors describe recent developments in the theory of early vision that led from the formulation of the motion problem as an ill-posed one to its solution by minimizing certain 'cost' functions. These cost or energy functions can be mapped onto simple analog and digital resistive networks. The optical flow is computed by injecting currents into resistive networks and recording the resulting st... View full abstract»

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  • A neural network for visual pattern recognition

    Publication Year: 1988, Page(s):65 - 75
    Cited by:  Papers (82)  |  Patents (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1041 KB)

    A model of a neural network is presented that offers insight into the brain's complex mechanisms as well as design principles for information processors. The model has properties and abilities that most modern computers and pattern recognizers do not possess; pattern recognition, selective attention, segmentation, and associative recall. When a composite stimulus consisting of two or more patterns... View full abstract»

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  • The ART of adaptive pattern recognition by a self-organizing neural network

    Publication Year: 1988, Page(s):77 - 88
    Cited by:  Papers (263)  |  Patents (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1132 KB)

    The adaptive resonance theory (ART) suggests a solution to the stability-plasticity dilemma facing designers of learning systems, namely how to design a learning system that will remain plastic, or adaptive, in response to significant events and yet remain stable in response to irrelevant events. ART architectures are discussed that are neural networks that self-organize stable recognition codes i... View full abstract»

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  • Computing with structured neural networks

    Publication Year: 1988, Page(s):91 - 103
    Cited by:  Papers (16)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1125 KB)

    The authors are concerned with how one can design, realize, and analyze networks that embody the specific computational structures needed to solve hard problems. They focus on the design and use of massively parallel connectionist computational models, particularly in artificial intelligence. They describe a computing environment for working with structured networks and present some sample applica... View full abstract»

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  • Self-organization in a perceptual network

    Publication Year: 1988, Page(s):105 - 117
    Cited by:  Papers (174)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1377 KB)

    The emergence of a feature-analyzing function from the development rules of simple, multilayered networks is explored. It is shown that even a single developing cell of a layered network exhibits a remarkable set of optimization properties that are closely related to issues in statistics, theoretical physics, adaptive signal processing, the formation of knowledge representation in artificial intel... View full abstract»

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Aims & Scope

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed articles written for and by computer researchers and practitioners representing the full spectrum of computing and information technology, from hardware to software and from emerging research to new applications. 

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Editor-in-Chief
Sumi Helal
University of Florida
sumi.helal@gmail.com