Three types of exact solutions of generalized breaking soliton equation via certain neural network structures
摘要
In this work, three novel neural network models are proposed to solve the breaking soliton (gBS) equation, and three types of new trial functions are skillfully constructed via setting the appropriate activation functions in the proposed novel neural network models. The explicit solutions of gBS equation are obtained by exploiting bilinear neural network method.