A Weighted Fuzzy Reasoning Process Neural Network and Its Application

According to dynamic information processing problems concerning process fuzzy information or domain rules, this paper presents a weighted fuzzy reasoning process neuron and a weighted fuzzy reasoning process neural network model. The weighted fuzzy reasoning process neuron uses dynamic information processing methods of fuzzy process reasoning rules and numerical process neuron in combination, and implements adaptive fuzzy reasoning to the process quantitative and qualitative mixed information with learning mechanism of process neuron. The fuzzy reasoning process neural network that makes up of weighted fuzzy reasoning process neuron and other types of neurons according to certain information transmission and fuzzy reasoning rules, extends fuzzy function mapping relation of traditional fuzzy neural networks to mapping relation of fuzzy functional, which improves comprehensive information treatment capacity for various kinds of process information. A weighted fuzzy reasoning process neural network model and its learning algorithm have been given. Practical application results proved the effectiveness of the model and the algorithm.