A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model
Joint Authors
Al Faqih, Feras M.
Bhowmik, Samir Kumar
Islam, Md. Nazmul
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-17
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Space time integration plays an important role in analyzing scientific and engineering models.
In this paper, we consider an integrodifferential equation that comes from modeling θ˙ neuron networks.
Here, we investigate various schemes for time discretization of a theta-neuron model.
We use collocation and midpoint quadrature formula for space integration and then apply various time integration schemes to get a full discrete system.
We present some computational results to demonstrate the schemes.
American Psychological Association (APA)
Bhowmik, Samir Kumar& Al Faqih, Feras M.& Islam, Md. Nazmul. 2014. A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034057
Modern Language Association (MLA)
Bhowmik, Samir Kumar…[et al.]. A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1034057
American Medical Association (AMA)
Bhowmik, Samir Kumar& Al Faqih, Feras M.& Islam, Md. Nazmul. A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034057
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034057