An Algorithm of Fertilization Model Fitting Based On Mixed Intelligent Computation

文献类型： 外文期刊

第一作者： Li Miao

作者： Li Miao;Jian Zhang;Hu Ze-Lin;Yuan Yuan;Li Lu-jiu

作者机构： Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China;Anhui Acad Agr Sci, Inst Soil & Fertilizer, Hefei 230031, Anhui, Peoples R China

期刊名称：INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL : ICACC 2009 - PROCEEDINGS

ISSN：

年卷期： 2009 年

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收录情况： SCI

摘要： During the process of pluralistic fertilization model construction, the unreasonable ratio of nitrogen, phosphorus and kalium easily results in the deviation of fertilizing model. This paper has proposed an adaptive algorithm of fertilization model fitting based mixed intelligent computing of GP/GA, and solved the issue of structure and parameters optimization of adaptive fertilization model. This algorithm has carried out the research of applying control factors to adjust the parameters of filling function, the appropriate ratio of nitrogen, phosphorus and kalium is regarded as control factors of heuristic search to adjust models, on the basis of history test data dynamical models are generated, and the optimization and correction of models based appropriate ratio of nutrients are achieved.

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