Using the 2n-element number neural network model to recognize the 2(2n)-state images

Jianwei Shuai; Zhenxiang Chen; Ruitang Liu; Boxi Wu

doi:10.1117/12.205265

28 March 1995 Using the 2ⁿ-element number neural network model to recognize the 2⁽²ⁿ⁾-state images

Jianwei Shuai, Zhenxiang Chen, Ruitang Liu, Boxi Wu

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205265
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

The storage capacity of the 2ⁿ-element number discrete neural networks models are analyzed in this paper. The present model can be applied to recognize the 2²⁽ⁿ)-level gray or color images. Some examples to recognize the multistate English letters or Chinese words are discussed.

Citation Download Citation

Jianwei Shuai, Zhenxiang Chen, Ruitang Liu, and Boxi Wu "Using the 2ⁿ-element number neural network model to recognize the 2⁽²ⁿ⁾-state images", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205265

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