Fuzzy Petri net parameter optimization method and system, and electronic device

An optimization method and fuzzy technology, applied in the fuzzy Petri net parameter optimization method, system and electronic equipment field, can solve the problems of low model output accuracy, parameters cannot be intelligently optimized, etc., achieve good knowledge expression and knowledge acquisition ability, and improve parameters The effect of optimizing precision and improving accuracy

Inactive Publication Date: 2018-11-06
JISHOU UNIVERSITY
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Problems solved by technology

However, the parameters in the fuzzy Petri net model usually rely on human experience for manual setting, result

Method used

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  • Fuzzy Petri net parameter optimization method and system, and electronic device
  • Fuzzy Petri net parameter optimization method and system, and electronic device
  • Fuzzy Petri net parameter optimization method and system, and electronic device

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Embodiment Construction

[0072] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0073] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0074] It should be noted that like numeral...

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Abstract

Embodiments of the present application provide a fuzzy Petri net parameter optimization method and system, and an electronic device. The method comprises: performing fuzzy processing on a Petri net model by using a fuzzy generation rule to obtain a fuzzy Petri net model, and based on the leapfrog algorithm, creating an initial population based on to-be-optimized parameters in the fuzzy Petri net model; performing optimization processing on the initial population by using the genetic algorithm; performing iterative optimization on the optimized initial population by using the leapfrog algorithm, and jumping out the iteration until the obtained new population meets the preset stopping condition or the number of times of iterations reaches the preset maximum number of times; and obtaining theoptimal solution from the obtained new population. According to the optimization scheme of the embodiments of the present application, the Petri net model is enabled to have a better knowledge expression and knowledge acquisition ability by using the fuzzy generation rule, and optimization processing is performed by using the improved leapfrog algorithm, so that disadvantages caused by that the parameters in the fuzzy Petri net model need to be manually set are avoided, the accuracy of parameter optimization is improved, and the accuracy of the output result of the fuzzy Petri net model is further improved.

Description

technical field [0001] The invention relates to the technical field of software systems, in particular to a fuzzy Petri net parameter optimization method, system and electronic equipment. Background technique [0002] Petri Net (PN) is a computer system model with efficient asynchronous and concurrent modeling capabilities and data analysis capabilities, and is widely used in asynchronous and concurrent communications between various components of computer systems. However, the existing Petri nets are difficult to describe the problem of uncertainty knowledge as a theoretical tool. Therefore, in the prior art, fuzzy production is used to fuzzy the Petri net. However, the parameters in the fuzzy Petri net model usually rely on human experience for manual setting, resulting in the inability to intelligently optimize the parameters in the model, and the output accuracy of the model is low. Contents of the invention [0003] In view of this, the purpose of this application i...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06N3/12G06N3/00
CPCG06Q10/04G06N3/006G06N3/126
Inventor 周恺卿莫礼平刘笔余许诗文江威
Owner JISHOU UNIVERSITY
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