J
Jun Wang
Researcher at Xihua University
Publications - 134
Citations - 3350
Jun Wang is an academic researcher from Xihua University. The author has contributed to research in topics: Computer science & Membrane computing. The author has an hindex of 28, co-authored 113 publications receiving 2293 citations. Previous affiliations of Jun Wang include Huazhong University of Science and Technology.
Papers
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Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems
TL;DR: The results of case studies show that FDSNP is effective in diagnosing faults in power transmission networks for single and multiple fault situations with/without incomplete and uncertain SCADA data, and is superior to four methods reported in the literature in terms of the correctness of diagnosis results.
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Fuzzy reasoning spiking neural P system for fault diagnosis
TL;DR: This work extends SN P systems by introducing some new ingredients (such as three types of neurons, fuzzy logic and new firing mechanism) and proposes the fuzzy reasoning spiking neural P systems (FRSN P systems), which are particularly suitable to model fuzzy production rules in a fuzzy diagnosis knowledge base and their reasoning process.
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Spiking neural p systems with weights
TL;DR: It is proved that integers suffice for computing all Turing computable sets of numbers in both the generative and the accepting modes and a characterization of the family of semilinear sets ofNumbers is obtained.
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Weighted Fuzzy Spiking Neural P Systems
TL;DR: A weighted fuzzy backward reasoning algorithm, based on WFSN P systems, is developed, which can accomplish dynamic fuzzy reasoning of a rule-based system more flexibly and intelligently.
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Spiking neural p systems with astrocytes
TL;DR: It is proved that SNPA systems with simple neurons are Turing universal in both generative and accepting modes, and if a bound is given on the number of spikes present in any neuron along a computation, then the computation power ofSNPA systems is diminished.