Chebyshev Neural Network based model for solving Lane–Emden type equations

The objective of this paper is to solve second order non-linear ordinary differential equations of Lane–Emden type using Chebyshev Neural Network (ChNN) model. These equations are categorized as singular initial value problems. Artificial Neural Network (ANN) model is used here to overcome the diffi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Applied mathematics and computation Jg. 247; S. 100 - 114
Hauptverfasser:	Mall, Susmita, Chakraverty, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 15.11.2014
Schlagworte:	Chebyshev approximation Chebyshev Neural Network Differential equations Error back propagation algorithm Feed forward neural network Initial value problems Lane–Emden equation Learning theory Mathematical analysis Mathematical models Neural networks Non-linear second order ordinary differential equation Polynomials Lane–Emden equation Chebyshev Neural Network Non-linear second order ordinary differential equation Feed forward neural network Error back propagation algorithm
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!