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The Particle Swarm Optimization Based Calculation Research on Agricultural Mechanization Contribution Rate

机译:基于粒子群算法的农业机械化贡献率计算研究

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摘要

Firstly, the paper introduced the basic principles of Particle Swarm Optimization. Secondly, researched on agricultural mechanization contribution rate theory, established the calculation model of agricultural mechanization contribution rate. Given the solving-process of the model and took Particle Swarm Optimization to solve the unknown parameters in the model. Finally, used agricultural machinery input, agricultural labor force, and cultivated land area, effective irrigation area, chemical fertilizer as input and agricultural production as output and estimated agricultural mechanization contribution rate of Shandong Province, and achieved good results. From the calculated result can be proved that the model is scientific and feasible.
机译:首先,介绍了粒子群算法的基本原理。其次,研究了农业机械化贡献率理论,建立了农业机械化贡献率计算模型。给出了模型的求解过程,并进行了粒子群算法求解模型中的未知参数。最后,利用农业机械投入,农业劳动力,耕地面积,有效灌溉面积,化肥投入和农业生产为产出,估算了山东省农业机械化贡献率,取得了良好的效果。从计算结果可以证明该模型是科学可行的。

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