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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。
The paper deeply analyzes the traditional mechanism of uncertainty reasoning based on cloud theory, proposes cloud neural network model based on cloud theory and neural network, and proves the universal approximation property of cloud neural network model. The simulation results show that the output value of cloud neural network model And the approximated function is basically consistent with the output value.