Proceedings of the 2012 National Conference on Information Technology and Computer Science

A New Method of Self-Adapted Learning Mechanism Based on Neural Network

Authors
Hua Hu
Corresponding Author
Hua Hu
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.48How to use a DOI?
Keywords
self-adapted learning, multi-agent-based method, Neural Network Decision Mechanism (NNDM)
Abstract
This paper describes a new method to neural network model based self-adapted learning mechanism for deriving a complex system. This Learning scheme is organized based on a multi-agent-based self-adapted learning method as well as a multi-agent-based self-adapted method, while an Neural Network Decision Mechanism (NNDM) is used to identify the best agent-based self-adapted method, at each instant of time. In order to demonstrate the validity of the proposed Learning scheme, the single linear model based generalized self-adapted learning mechanism is used as a basic method. At last, the appropriate tracking performance of the proposed Learning scheme is easily outperformed in comparison with previous one.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.48How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hua Hu
PY  - 2012/11
DA  - 2012/11
TI  - A New Method of Self-Adapted Learning Mechanism Based on Neural Network
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 176
EP  - 179
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.48
DO  - https://doi.org/10.2991/citcs.2012.48
ID  - Hu2012/11
ER  -