Research and Application of a New Artificial Immune Algorithm Which Based on SOM Neural Network

Author

Yan, Gao ; Yaoguang, Wei ; Dongmei, Fu ; Wei, Zhang ; Shuro, Ning

Author_Institution

Sch. of Inf. Eng., Beijing Sci. & Technol. Univ.

fYear

0

fDate

0-0 0

Firstpage

1080

Lastpage

1083

Abstract

A new immune algorithm which is based on the SOM neural network has been proposed in this paper. It takes the antigen as the neural network input pattern and the neural network connection weight as the antibody. It is made up of three processes: the recognition and matching of antibody to antigen; the clone proliferation and mutation of the antibody; the formation of antibody memory matrix. This paper analyzes the application of the immune algorithm in the silicon content prediction and results show that it has fascinating ability in silicone content prediction

Keywords

pattern recognition; self-organising feature maps; SOM neural network; antibody clone proliferation; antibody memory matrix; antibody mutation; antigen; artificial immune algorithm; neural network connection weight; self-organising map; silicon content prediction; Agricultural engineering; Artificial immune systems; Artificial neural networks; Cloning; Electronic mail; Flowcharts; Immune system; Machine learning; Neurons; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on

Conference_Location

Ft. Lauderdale, FL

Print_ISBN

1-4244-0065-1

Type

conf

DOI

10.1109/ICNSC.2006.1673302

Filename

1673302