For dynamic information processing problems with process fuzzy information and dynamic domain rules, a
fuzzy reasoning process neural network(FRPNN) is proposed in the paper. FRPNN combines fuzzy process reasoning rules
with dynamic information processing mechanism of numerical PNN, representing reasoning rules as process neurons, and
implements self-adaptive processing to the process quantitative and qualitative mixed information using learning mechanism
of PNN. The information processing mechanism of FRPNN is analyzed, and the learning algorithm is given. Taking pumping
unit balance diagnosis as example, application results show the effectiveness of the model and the algorithm.