A dynamic model of evaluating differential automatic method for solving plane problems based on BP neural network algorithm

Yuan He, Zhiyi Meng, Hong Xu and Yue Zou

Physica A: Statistical Mechanics and its Applications, 2020, vol. 556, issue C

Abstract: Aiming at solving differential equations of plane problems, the algorithm of difference equation is established, and the corresponding program is compiled on BP neural network. The correctness and practicability of the difference equation algorithm are verified. A dynamic model of the parallel difference equation is constructed according to the characteristics of the parallel structure of BP neural network. By calculating examples, the continuity condition under the condition of modulus abruption is further discussed. The study shows that the two groups of differential equations are used to identify and verify the model, and the energy function satisfies both the linear embedding condition and the correct wiring. Furthermore, BP neural network is used to realize the search and routing of the maximum plane. The results show that difference equation calculations have the ability to help BP networks get rid of local minima and get better results.

Keywords: BP neural network algorithm; Plane problem; Differential method (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:556:y:2020:i:c:s0378437120304386

DOI: 10.1016/j.physa.2020.124845

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