Journal
PHYSICA SCRIPTA
Volume 96, Issue 2, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/1402-4896/abd3c3
Keywords
bilinear neural network method; bright-dark solitons; interaction; solitons; p-gBKP equation
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Funding
- National Natural Science Foundation of China [11661060, 81 860 771, 61 572 095, 61 877 007]
- Natural Science Foundation of Inner Mongolia Autonomous Region of China [2018LH01013]
- Program for Young Talents of Science and Technology in University of Inner Mongolia Autonomous Region [NJYT-20-A06]
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This paper focuses on bright-dark solitons and their interaction behavior associated with a dimensionally reduced p-gBKP equation. New test functions are constructed using the Bilinear Neural Network Method, resulting in the interaction solutions between bright-dark solitons and various functions. The evolution characteristics of these waves are well exhibited through various plots.
In the present paper, we focus on the bright-dark solitons and interaction behavior associated with a dimensionally reduced p-gBKP equation. New test functions are constructed by using the Bilinear Neural Network Method (BNNM). These test functions are composed of arbitrary functions in '3-2-2-2' neural network model or specific activation functions in single-layer model. The bright-dark solitons and interaction solutions between lump and double exponential function or hyperbolic tangent function are obtained by choosing appropriate values and activation functions. Via various three-dimensional plots, 2D plots, contour plots and density plots, the evolution characteristics of these waves are exhibited well.
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