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.EI06933-9362
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The thesis proposes a quite novel and easily generalized fault detection and diagnosis (FDD) scheme ...
A class of fuzzy neural network with dynamic weights is proposed and its corresponding network topol...
Aimed at the pattern classification and the system-modelling problem with complex time-varying signa...
Soft Computing became a formal Computer Science area of study in the early 1990's. It deals with imp...
AbstractA new fuzzy reasoning that can solve two problems of conventional fuzzy reasoning by combini...
This paper presents an improved fuzzy-neural network (FNN) model, which is simple but effective fuzz...
Fuzzy neural networks have several features that make them well suited to a wide range of knowledge ...
Abstract—Since knowledge in expert system is vague and modified frequently, expert systems are fuzzy...
In recent years, there has been an increasing interest in the fusion of neural networks and fuzzy lo...
Fuzzy neural networks (FNNs) have learning ability and adaptive capability. Usually, the typical app...
Spiking neural P systems (in short, SN P systems) and their variants, in- cluding fuzzy spiking neu...
This paper presents a weighted fuzzy reasoning method and a fuzzy neural network (FNN) corresponding...
This thesis provides a unified and comprehensive treatment of the fuzzy neural networks as the intel...
Spiking neural P systems (SN P systems) are a new class of computing models inspired by the neurophy...
A new class of neural fuzzy network based on a general neuron model is introduced in this paper. The...
The thesis proposes a quite novel and easily generalized fault detection and diagnosis (FDD) scheme ...
A class of fuzzy neural network with dynamic weights is proposed and its corresponding network topol...
Aimed at the pattern classification and the system-modelling problem with complex time-varying signa...