摘要
本文结合手写体数字识别，讨论了一种用Ｈａｍｍｉｎｇ神经网络实现复杂模式分类的方法．文中提出了模式分解，分级模板匹配及模糊匹配技术及其电流型ＶＬＳＩ的实现，并着重论述了一种高精度，低复杂度，结构灵活的电流型ｋ－ＷＴＡ的实现．
Abstract A method to classify
complex pattern with Hamming neural network is proposed on the base of handwritten digit
recognition in this paper. Some techniques such as pattern decomposition, multi level template
matching and fuzzy template matching and their current mode VLSI realization are put forward, and
a current mode k WTA with high precision ,low complexity, smart structure is deeply discussed.
基金
国家自然科学基金
高校博士点基金
