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Detecting change in process systems with immunocomputing
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作者 杨小平 c aldrich 《Journal of Coal Science & Engineering(China)》 2005年第1期56-58,共3页
Proposed a novel approach to detect changes in the product quality of process systems by using negative selection algorithms inspired by the natural immune system. The most important input variables of the process sys... Proposed a novel approach to detect changes in the product quality of process systems by using negative selection algorithms inspired by the natural immune system. The most important input variables of the process system was represented by artificial immune cells, from which product quality was inferred, instead of directly using the prod- uct quality which was hard to measure online, e.g. the ash content of coal flotation con- centrate. The experiment was presented and then the result was analyzed. 展开更多
关键词 change detection immunocomputing process systems
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