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FORECAST RESEARCH OF CROP WATER REQUIREMENTS BASED ON FUZZY RULES

机译:基于模糊规则的作物需水量预测研究

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摘要

This paper put forward the idea of producing fuzzy rules by genetic algorithms based on Takagi-Surgeon Fuzzy Logic System from the dataset of multi-dimension climate data and crop water requirements, and establishing the fuzzy model to predict crop water requirements. The forecast model was tested and the result showed that it was an effective way to forecast crop water requirements by fuzzy rules model.
机译:从多维气候数据和作物需水量数据集中,提出了基于高木-外科医生模糊逻辑系统的遗传算法产生模糊规则的思想,建立了预测作物需水量的模糊模型。对预报模型进行了检验,结果表明该模型是利用模糊规则模型预报作物需水量的有效方法。

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