Title :
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.
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;
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
DOI :
10.1109/ICNSC.2006.1673302
