基于模糊神经网络的传感器置信度的求取

A Method of Calculating the Reliability of Sensor Based on FNN

根据模糊逻辑规则中传感器置信度与其前件的单调关系 ,构造了一种基于内插求值的模糊神经网络 (FNN)。详细描述了网络各层神经元的内部结构和层间关系 ,并给出了网络的学习算法。最后通过仿真验证了网络的可行性。

Considering the monotonic relation between the reliability of sensor and the condition in the fuzzy logical rule, a kind of FNN based on arithmetic of insert value is suggested in this paper. The inner construction of the nerve cells in different layers and the relation between the layers is described in detail. The learning algorithm is also presented .At last, a simulation is made to check the feasibility of the net.