一种用于模式识别的多输入模糊处理器

A Multi－Input Fuzzy Processor for Pattern Recognition

本文提出了一种采用“求和平均一求大”操作的模糊处理器，可用于模式分类和模式识别．它采用分时的方法接收未知模式的多个特征，然后，隶属函数发生器根据输人的特征产生相应于每一个标准模式的隶属度．开关电容累加器对多个隶属度进行相加求和，得到一个综合隶属度．最后，求大电路找出最大隶属度并输出作为识别结果．

A fuzzy processor employing SUM & MAX operation is proposed,which can be used for pattern classification and pattern recognition.It receives multiple inputs that represent multiple features of an unknown pattern in time-shared way. Membership function generators generate memberships corresponding to each standard pattern according to the input features.Switched-capacitor accumulators sum multiple memberships to get synthetic memberships. Finally,WTA(Winner-Take-All)circuit finds the maximum synthetie membership and the recognition result is obtained.