【摘要】 模糊模式识别是模糊集理论研究中的重要方向,神经网络是数据挖掘中的一种常用方法。超圆神经网络的学习时间和网络模型理解性都优于BP神经网络,它能以较少的数据量蕴涵同样的信息量。文章依据超圆神经网络模型思想,提出了一种新的基于模糊模式识别的神经网络模型算法,该算法继承了超圆神经网络的优点,能有效地对样本进行学习。更多还原

【Abstract】 Fuzzy Pattern Recognition is an important research field on the fuzzy theory, Artificial neural network (ANN) is a common method of data mining. The learning period and network model understand of the super circle covering ANN are better than BP neu-ral network. According to its thought, the new Artificial Neural Network based on fuzzy pattern recognition will be introduced. Com-paring with the super circle covering ANN, this algorithm has the same excellent aspect, in practice it is useful to learn the samples.更多还原