Journal
APPLIED SCIENCES-BASEL
Volume 10, Issue 20, Pages -Publisher
MDPI
DOI: 10.3390/app10207011
Keywords
spiking neural P systems; fault diagnosis; hardware implementation; NP-complete; pattern recognition; membrane computing
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Funding
- project of State Grid Corporation of China [521997180016]
- National Natural Science Foundation of China [61972324, 61672437, 61702428]
- New Generation Artificial Intelligence Science and Technology Major Project of Sichuan Province [2018GZDZX0043]
- Beijing Advanced Innovation Center for Intelligent Robots and Systems [2019IRS14]
- Artificial Intelligence Key Laboratory of Sichuan Province [2019RYJ06]
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Over the years, spiking neural P systems (SNPS) have grown into a popular model in membrane computing because of their diverse range of applications. In this paper, we give a comprehensive summary of applications of SNPS and its variants, especially highlighting power systems fault diagnoses with fuzzy reasoning SNPS. We also study the structure and workings of these models, their comparisons along with their advantages and disadvantages. We also study the implementation of these models in hardware. Finally, we discuss some new ideas which can further expand the scope of applications of SNPS models as well as their implementations.
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