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水稻产量预测的Hopfield数学模型
引用本文:周保平. 水稻产量预测的Hopfield数学模型[J]. 农机化研究, 2008, 0(12)
作者姓名:周保平
作者单位:塔里木大学,信息工程学院,新疆,阿拉尔,843300
摘    要:在众多的人工神经网络模型当中,Hopfield神经网络是应用比较广泛的一种。鉴于Hopfield神经网络的特点,将其应用于水稻产量预测领域,运用人工神经网络的知识,建立了水稻Hopfield产量预测的数学模型,通过它可以提高水稻产量预测的精确性,以提高肥料利用率,促使水稻优产、高产,达到经济、生态和社会效益的统一。此数学模型已通过了测试与试验验证,取得了较好的效果。

关 键 词:水稻  产量预测  数学模型  Hopfield

Hopfield Mathematical Modeling about Rice Yield Forecasting
Zhou Baoping. Hopfield Mathematical Modeling about Rice Yield Forecasting[J]. Journal of Agricultural Mechanization Research, 2008, 0(12)
Authors:Zhou Baoping
Abstract:Among the artificial neural network modeling Hopfield neural network is a rather extensive application of an artificial neural network model,in view of the characteristics of Hopfield neural network,this paper will be applied to rice yield forecasting areas,the use of artificial neural network knowledge to build Hopfield rice yield forecasting model,which can improve the accuracy of rice production forecast to increase fertilizer efficiency,superior to rice production,high yield,to achieve economic,ecological and social benefits of reunification.This mathematical model has passed the test and validation test,and achieved good results.
Keywords:rice  yield forecast  mathematical modeling  Hopfield
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