摘要
本文首次提出了一种用于模式识别的新型多功能开关电流模糊处理器．该模糊处理器不仅可以求出最大综合隶属度相应的标准模式，而且可以按综合隶属度大小的顺序依次输出综合隶属度以及相应的标准模式，这将十分有利于系统性能的改善．该处理器可以进行绝对拒识和相对拒识的判断，大大提高了系统的可靠性．另外，为了提高该处理器的自适应能力，将综合函数中的权重设计为可调节的．ＰＳＰＩＣＥ模拟结果表明该处理器具有高精度、高分辨率等特点．在电路上，该处理器结构简单、灵活，模块化的设计使处理器的规模易于扩展．同开关电容技术相比，开关电流技术不需要双层多晶工艺，使得该处理器可以直接采用标准的数字ＣＭＯＳ工艺来实现．
Abstract A novel multifunction switched current fuzzy processor for pattern recognition is firstly proposed. The proposed fuzzy processor is not only able to find the stand pattern with the largest level of matching, but also output levels of matching and stand patterns corresponding to these levels according to magnitude of levels. On the other hand, this network could realize the absolute rejection and the relative rejection. This improves the reliability of the system. The structure of this processor is simple, flexible and its scale can be easily extended. PSPICE simulation shows that the processor has high resolution and high precision. Since switched current structure is employed, this processor is able to be fully compatible with a standard digital CMOS process and easily implemented in VLSI technology.
基金
国家自然科学基金
高校博士点基金
