Aplicação da Rede Neural de Legendre (RNLeNN) na Solução Númerica de Equações Diferenciais

Authors

  • Felipe C. Rosário
  • Valcir J. C. Farias
  • Lucas P. Rezende
  • Leto S. Henriques
  • Alexandre J. A. S. Saraiva
  • Michael B. Siqueira

Abstract

Vários métodos aplicando redes neurais artificiais-RNA na solução numérica de equação diferencial foram propostos na literatura, dentre os quais destacamos as RNAs desenvolvidas por ([1],[3]). [...]

Downloads

Download data is not yet available.

Author Biographies

Felipe C. Rosário

FAEST/UFPA, Belém, PA

Valcir J. C. Farias

FAEST/UFPA, Belém, PA

Lucas P. Rezende

FAEST/UFPA, Belém, PA

Leto S. Henriques

PPGME/UFPA, Belém, PA

Alexandre J. A. S. Saraiva

PPGME/UFPA, Belém, PA

Michael B. Siqueira

PPGME/UFPA, Belém, PA

References

Isaac E Lagaris, Aristidis Likas e Dimitrios I Fotiadis. “Artificial neural networks for solving ordinary and partial differential equations”. Em: IEEE transactions on neural networks 9.5 (1998), pp. 987–1000.

Susmita Mall e Snehashish Chakraverty. “Application of Legendre neural network for solving ordinary differential equations”. Em: Applied Soft Computing 43 (2016), pp. 347–356.

Kevin Stanley McFall e James Robert Mahan. “Artificial neural network method for solution of boundary value problems with exact satisfaction of arbitrary boundary conditions”. Em: IEEE Transactions on Neural Networks 20.8 (2009), pp. 1221–1233.

Published

2022-12-08

Issue

Section

Resumos