摘要
根据学习系统中存在的动态模糊性,提出了动态模糊机器学习模型,给出了动态模糊机器学习算法和它的几何模型描述,并进行了算法的稳定性分析,最后给出了实例验证。实例结果与BP算法产生结果相比较,优于BP算法的结果。
According to the dynamic fuzzy characteristic of the machine learning system, a dynamic fuzzy machine learning model was proposed, put forward the dynamic fuzzy machine learning algorithm, described the description of its geometry model, and finally, the theory was verified by giving an example. The result shows that the algorithm of this paper is superior to that of Back Propagation, so it is verified that the proposed algorithm of this paper is more effective.
出处
《计算机应用》
CSCD
北大核心
2006年第9期2044-2046,共3页
journal of Computer Applications
基金
江苏省自然科学基金资助项目(BK2005027)
苏州大学211项目基金
关键词
动态模糊集
动态模糊机器学习系统
动态模糊机器学习模型
dynamic fuzzy sets
dynamic fuzzy machine learning system
dynamic fuzzy machine learning model
