摘要
利用神经网络的自适应、自学习等特点和模糊系统人脑性等特点来弥补相互的缺点,二者结合产生一种基于神经网络的模糊系统,采用BP算法对系统参数进行调整,最后用该系统提取我国经济增长的模糊规则。
The self-adaptation and self-studying features of neural networks have been combines with the human intelligence of fuzzy system to produce a fuzzy system based on neural networks. The (system) is used to extract the fuzzy rules in the increase of China's economy.
出处
《长春工业大学学报》
CAS
2004年第3期4-9,共6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 systems
fuzzy rules
economy.
