Latif, Ahmat Saiful and Sumardi, Sumardi and Solekhudin, Imam and Suparwanto, Ari (2021) Solving ordinary and partial differential equation using Legendre neural network DDY2 method. Engineering Letters, 29 (3). 1005 – 1014. ISSN 1816093X
Full text not available from this repository. (Request a copy)Abstract
In this paper, we present a new method based on modification on single layer Legendre Neural Network(LeNN) method to be Legendre Neural Network DDY2 (LeNNDDY2) method to solve ordinary and partial differential equation. The activation function on the hidden layer is changed by Legendre polynomial expansion. The optimization method used in weight and bias updates is the DDY2 conjugate gradient method. For example problems, the numerical results have been compared with the other methods and gotten better results. © 2021, International Association of Engineers. All rights reserved.
Item Type: | Article |
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Additional Information: | Cited by: 4 |
Uncontrolled Keywords: | Multilayer neural networks; Network layers; Numerical methods; Partial differential equations; Activation functions; Bias updates; Hidden layers; Legendre polynomial expansion; Numerical results; Optimization method; Ordinary and partial differential equations; Single layer; Conjugate gradient method |
Subjects: | Q Science > QA Mathematics |
Divisions: | Faculty of Mathematics and Natural Sciences > Mathematics Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 06 Oct 2024 22:17 |
Last Modified: | 06 Oct 2024 22:17 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/8711 |