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基于改进EIman神经网络的水稻长势预测系统

He Zhou,Yongzhong Cao

Jiangsu Salt Science & Technology（2019）

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Abstract
长期以来,人们对水稻长势情况的判断多出自于经验,为了更好地定量描述各生育期水稻长势,给出了水稻生长量定义,结合环境因素对长势的影响,运用改进的Elman神经网络来发现其变化规律.经过和几种标准神经网络模型对比,改进后的预测算法效果更佳,误差更小,更加贴合真实数据.在此基础上搭建水稻长势预测系统,为水稻的科学管理和精确估产提供帮助.
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