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B-P神经网络在作物生育动态模拟中的应用
Applications of B-P Neural Network to Crop Growth Dynamic Simulation
【摘要】 利用B P神经网络对作物生育动态进行模拟。在对B P神经网络的结构和训练算法加以选择后 ,网络模型具有拟合精度高、收敛速度快和泛化能力强等特点。B P网络可用于作物生育进程中单输入单输出、单输入多输出、多输入单输出和多输入多输出动态关系的模拟和作物生育动态的预测
【Abstract】 B P neural network was used for dynamic description of crop growth.After network structure was selected and training method was improved,the network model had characteristics of high matching precision,high speed of convergence and powerful functionality,based on which dynamic description of single output by single input and multi output by multi input as well as prediction of crop development dynamic could be achieved.
【关键词】 作物生育动态;
BP神经网络;
模拟;
预测;
【Key words】 Crop growth dynamic; B P neural network; Simulation; Prediction;
【Key words】 Crop growth dynamic; B P neural network; Simulation; Prediction;
- 【文献出处】 华北农学报 ,Acta Agriculturae Boreall—sinica , 编辑部邮箱 ,2002年01期
- 【分类号】S311
- 【被引频次】6
- 【下载频次】77