A cellular neural network (CNN) is a locally connected, massively paralleled computing system with simple synaptic operators so that it is very suitable for VLSI implementation in real-time, high-speed applications. VLSI architecture of a continuous-time shift-invariant CNN with digitally-programmable operators and optical inputs is proposed. The circuits with annealing ability is included to achieve optimal solutions for many selected applications.
|頁（從 - 到）||653-659|
|期刊||Proceedings - IEEE International Symposium on Circuits and Systems|
|出版狀態||Published - 1 1月 1995|
|事件||Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA|
持續時間: 30 4月 1995 → 3 5月 1995