摘要
利用神经网络的自适应、自学习等特点和模糊系统的人脑性等特点来弥补相互的缺点,使它们结合产生一种基于神经网络的模糊系统,并用该系统提取我国经济增长的模糊规则。
The self-adaption and self-study features of neural networks have been combined with the human (intelligence) characteristic of fuzzy systems to produce a fuzzy system based on neural (networks). The system is used to extract the fuzzy rules from the increase of Chinese economy.
出处
《长春工业大学学报》
CAS
2004年第4期34-38,共5页
Journal of Changchun University of Technology
基金
国家自然科学基金资助项目(70273044)
关键词
神经网络
模糊系统
模糊规则
经济
neural networks
fuzzy system
fuzzy rules
economy.