Theory of ART in the Areas of Harmful Red Tide Warning

Yang Jianqiang1,2, Gao Zhenhui2, Ding Dewen3, Sun Peiyan2, Lin Qingliang2, and Shi Qiang2
1Environmental Science and Engineering School, Shanghai Jiaotong University, Shanghai, 200240, China; 2The North Sea Monitoring Center, State Oceanic Administration, Qingdao, 266003, China; 3Key Laboratory of Science and Engineering for Marine ecological Environment State Oceanic Administration, Qingdao, 266061, China

Abstract

Harmful red tide is a kind of : exceptional phenomenon aroused by many factors, catastrophe and nonlinear are its .characteristics. Harmful red tide warning is a hotspot in the areas of marine science. In this paper, the model of A-K neural network, which has plasticity, and is unsupervised, is worked out. The principle and algorithm are described . The application of A-K network models in the areas of harmful red tide warning of BaYuquan in LiaoNing Province shows that it can deal with many problems about classification ideally, and is applied.

Keywords: red tides, artificial neural networks, warning, self-organization


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