Acta Optica Sinica, Volume. 18, Issue 1, 112(1998)

Gray Image Recognition Based on Vector Quantization and Hopfield Network Model

[in Chinese], [in Chinese], and [in Chinese]
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    References(4)

    [1] [1] M. Taketa, J. W. Goodman. Neural networks for computation number: respresentations and programming complexity. Appl. Opt., 1986, 25(17): 3033~3046

    [2] [2] W. Zhang, K. Ltoh, J. Tanida. Hopfield model with multistate neurons and its optoelectronic implementation. Appl. Opt., 1991, 30(2): 195~200

    [3] [3] T.Stiefvater,K.R.Muller, Afinite-sizescalinginvestigationfotQ-stateHopfieldmodels:storagecapacityandbasinsofattraction.J.Phys.(A),1992,25(22): 5919~5929

    [5] [5] A. K. Krishnamurithy. Neural networks for vector quantization of speech and images. IEEE J. Select. Areas Commun., 1990, 8(8): 1449~1456

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    [in Chinese], [in Chinese], [in Chinese]. Gray Image Recognition Based on Vector Quantization and Hopfield Network Model[J]. Acta Optica Sinica, 1998, 18(1): 112

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    Paper Information

    Category: Fourier optics and signal processing

    Received: Nov. 2, 1996

    Accepted: --

    Published Online: Oct. 18, 2006

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