Gray Image Recognition Based on Vector Quantization and Hopfield Network Model

[in Chinese]; [in Chinese]; [in Chinese]

Journals >Acta Optica Sinica >Volume 18 >Issue 1 >Page 112 > Article

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

Gray Image Recognition Based on Vector Quantization and Hopfield Network Model

[in Chinese], [in Chinese], and [in Chinese]

Author Affiliations

[in Chinese]

show less

DOI: Cite this Article Set citation alerts

[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 Copy Citation Text

show less

References

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

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

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

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

[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

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information