欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
在MATLAB6.5中建立BP神经网络模型,用比较试验法对网络结构优化起关键作用的隐层节点数和优化训练算法进行了仿真试验,从而确定了合理优化的BP神经网络预测模型。采用一组样本数据来训练建立好的优化模型,并通过一组非样本数据来验证训练好的网络模型。误差结果证明,该优化模型能快速与准确地预测作物需水量,完全能够满足农业灌溉的精度要求。
英文摘要：
The BP optimal neutral network model was built in MATLAB6.5. The simulation experiment about the hidden layer nodes and the optimal training which play an important role in the optimization of network structure was carried out. So the rational BP optimal neutral network model was built. A set of sample data was adopt to train the optimal model which has been built, and a set of non - sample data was adopt to verify the network model which has trained. The error shows that the optimal model can forecast the water demand of the crop quickly and accurately, and meet the accuracy requirements of agricultural irrigation completely.
同期刊论文项目
同项目期刊论文
期刊信息
位置：