Prediction Of Rogue Wave Solution 24 Using Pinn And Ipinn A Exact

Prediction Of Rogue Wave Solution 24 Using Pinn And Ipinn A Exact Download scientific diagram | prediction of rogue wave solution (24) using pinn and ipinn. a exact solution; b prediction solution of pinn method; c prediction solution of ipinn method; d loss. The solution of the integrable hirota equation has attracted considerable attention in the applications of nonlinear optics, electromagnetics, and many other natural sciences. in this paper, we propose an improved physics informed neural network (ipinn) method to study numerical solutions of the hirota equation, which embeds energy conservation laws into a traditional neural network through.

Prediction Of Rogue Wave Solution 24 Using Pinn And Ipinn A Exact Obtain the bright soliton solution and rogue wave solution of the hirota equation, yet it needs more iterations. inspired by these works, to predict data driven of the hirota equation with less data, we propose an improved pinn (ipinn) method embed ded with energy conservation laws, which is con structed byutilizing thelaxpair formulation.wewill. The rogue wave solution and soliton solution of the ivancevic option pricing model, and the numerical solution of the black–scholes model are solved, respectively. at the same time, it can be shown that the ipinn method has the characteristics of faster convergence, more stability and higher accuracy than the pinn method by the results of numerical experiments. Prediction of rogue wave solution (24) using pinn and ipinn. a exact solution; b prediction solution of pinn method; c prediction solution of ipinn method; d loss curve function curves for the. We also studied the rogue wave solution [24] and the soliton solution [25] using by ipinn method. although the pinn algorithm and its improvement have made some achievements, the research of these.