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

DOI

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.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/citcs.2012.48
ID  - Hu2012/11
ER  -