Based on the outstar structure and the ratio memos, a feedforward Hamming neural network with on-chip learning and storage is designed in CMOS current-mode circuit. The implemented feedforward net can be used as a pattern classifier. The chip of the feedforward Hamming net has been fabricated by 0.8 μm double-poly double-metal n-well CMOS process. The experimental results have been shown that the ratio memory has the contrast enhancement characteristic. Also, the classifier can recognize the distorted pattern which is darken, brighten, level-shifted, or noisy of the exemplar pattern with gray level recognition capability.
|Number of pages||6|
|State||Published - 1 Dec 1995|
|Event||Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust|
Duration: 27 Nov 1995 → 1 Dec 1995
|Conference||Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)|
|Period||27/11/95 → 1/12/95|