
doi: 10.1007/11539117_112
Inspired by the learning mechanism of the biological immune system, the paper presents a method for weather forecast. Expressions of antigen and B-cell are defined. An immune-based supervised learning algorithm is described in detail. A weather forecast system based on immune theory has thus been presented. The experimental results show that the proposed method has higher forecast accuracy rate than neural network based weather forecast technique.
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