关键词: 手写体数字识别, 自适应模糊分类器, 人工神经网络

Abstract:

An improved adaptive fuzzy system based on table-looking learning algorithm,adaptive fuzzy classifier was developed.For the pattern recognition problems,simulation studies were made by applying the adaptive fuzzy classifier and the BP 3-layer feed-forward neural network classifier to the handwritten digit recognition problems. As compared to the BP neural network,the adaptive fuzzy classifier has better performance in recognition ability,incorporationg the linguistic information and comptational simplicity.All these show the superiority and potential of adaptive fuzzy techniques in solving pattern recognition problems.

Key words: handwritten digit recognition, adaptive fuzzy classifier, artificial neural network