Quantum mechanics

Rogue wave

Pure mathematics

Biology

Statistics

Symbolic computation

Applied mathematics

Theoretical computer science

Maple

Soliton

Computer science

Botany

Physics

Nonlinear system

Mathematics

Bilinear interpolation

Mathematical analysis

Artificial intelligence

Artificial neural network

Algebra over a field

Computer vision

Chaos Solitons & Fractals

In this work, some new test functions are constructed by setting generalized activation functions in different artificial network models. Bilinear neural network method is introduced to solve the explicit solution of a generalized breaking soliton equation. Rogue waves of generalized breaking soliton equation are obtained by symbolic computing technology and displayed intuitively with the help of Maple software.

Novel trial functions and rogue waves of generalized breaking soliton equation via bilinear neural network method