节点文献
基于模糊神经网络提取我国经济增长的模糊规则(Ⅱ)
The Extract of Fuzzy Rules in the Increase of China’s Economy Based on Fuzzy Neural Networks
【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。
【Abstract】 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.
【基金】 国家自然科学基金资助项目(70273044)
- 【文献出处】 长春工业大学学报(自然科学版) ,Journal of Changchun University of Technology , 编辑部邮箱 ,2004年03期
- 【分类号】F224
- 【被引频次】1
- 【下载频次】91