首页> 外文期刊>E3S Web of Conferences >Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network
【24h】

Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network

机译:基于BP神经网络的农业科研院所服务现代农业需求预测。

获取原文
       

摘要

BP artificial neural network model is used to predict developing modern agriculture demands for the agricultural scientific research institutions services. Starting from the brief introduction of the usages of BP neural network, we analyzed the demand factors of the agricultural scientific research institutions services and the affective elements of the demands, use the BP neural network model to predict, and then run the BP neural network model on the MATLAB platform, and finally carry out the case studies of Heilongjiang Province.
机译:BP人工神经网络模型用于预测现代农业对农业科研机构服务的需求。首先简要介绍了BP神经网络的用法,然后分析了农业科研机构服务的需求因素和需求的影响因素,使用BP神经网络模型进行预测,然后运行BP神经网络模型。在MATLAB平台上,最后进行了黑龙江省的案例研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号