Litcius/Paper detail

Bright-dark solitons and interaction phenomenon for <i>p</i> -gBKP equation by using bilinear neural network method

Runfa Zhang, Sudao Bilige, Jian-Guo Liu, Mingchu Li

2020Physica Scripta106 citationsDOI

Abstract

Abstract 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.

Topics & Concepts

Hyperbolic functionBilinear interpolationArtificial neural networkActivation functionExponential functionTangentPhysicsFunction (biology)Mathematical analysisFocus (optics)Bilinear formApplied mathematicsMathematicsOpticsComputer scienceGeometryArtificial intelligenceStatisticsEvolutionary biologyBiologyNonlinear Waves and SolitonsFractional Differential Equations SolutionsNonlinear Photonic Systems
Bright-dark solitons and interaction phenomenon for <i>p</i> -gBKP equation by using bilinear neural network method | Litcius