摘要
深入分析了传统的基于云理论的不确定性推理机制;结合云理论和神经网络提出了云神经网络模型;证明了云神经网络模型的万能逼近特性,仿真结果表明:云神经网络模型的输出值与被逼近函数的输出值基本吻合。
This paper makes great efforts to analyze the uncertainty reasoning mechanism based on the traditional cloud theory,propose a cloud neural network model by integrating cloud theory and neural network,and prove the universal approximation properties of cloud neural network model.The result of simulation shows that the outputs of cloud neural network are basically in accord with those of the approximated function.
出处
《山东英才学院学报》
2009年第3期48-51,共4页
Journal of Shandong Yingcai University
关键词
云理论
不确定性推理
神经网络
万能逼近
cloud theory
uncertain inference
neural network
universal approximation