An Algorithm of Fertilization Model Fitting Based On Mixed Intelligent Computation

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@InProceedings{Li:2009:ICACC,

• author = "Miao Li and Jian Zhang and Ze-lin Hu and Yuan Yuan1 and Lu-jiu Li",
• title = "An Algorithm of Fertilization Model Fitting Based On Mixed Intelligent Computation",
• booktitle = "International Conference on Advanced Computer Control, ICACC '09",
• year = "2009",
• month = "22-24 " # jan,
• pages = "425--429",
• abstract = "During the process of pluralistic fertilisation model construction, the unreasonable ratio of nitrogen, phosphorus and kalium easily results in the deviation of fertilising model. This paper has proposed an adaptive algorithm of fertilisation model fitting based mixed intelligent computing of GP/GA, and solved the issue of structure and parameters optimisation of adaptive fertilisation model. This algorithm has carried out the research of applying control factors to adjust the parameters of fitting 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 optimisation and correction of models based appropriate ratio of nutrients are achieved.",
• keywords = "genetic algorithms, genetic programming, adaptive algorithm, fertilisation model fitting, kalium, mixed intelligent computation, nitrogen, phosphorus, pluralistic fertilisation model construction, CAD, fertilisers, nitrogen, phosphorus",
• DOI = "doi:10.1109/ICACC.2009.153",
• notes = "Also known as \cite{4777379}",

}

Genetic Programming entries for Miao Li Jian Zhang Ze-lin Hu Yuan Yuan1 Lu-jiu Li

Citations