神经网络在麦秆秆茎机械强度确定中的应用

详细信息

APPLICATION OF NEURAL NETWORK IN THE DETERMINATION OF THE MECHANICAL STRENGTH OF WHEAT STRAW

College of Mechanics and Materials, Three Gorges University, Yichang 443002, China

摘要: 为了避免重复性力学实验来确定麦秆茎秆机械强度, 将神经网络技术用于麦秆茎秆机械强度的计算, 建立神经网络多几何参数确定麦秆茎秆机械强度的预测模型. 详细介绍麦秆机械强度神经网络预测模型的操作过程, 并根据预测误差结果分析, 证实了该方法的有效性和可行性.
- 神经网络 /
- 多几何参数 /
- 麦秆茎秆 /
- 机械强度
Abstract: To avoid the repeated mechanical experiments to determine the mechanical strength of wheat straw stalk, the neural network technology is adopted to build the prediction model for the mechanical strength of wheat straw stalk using neural network multiple geometric parameters. The prediction results show that the method is effective.
- neural network /
- multiple geometric parameters /
- wheat straw stalk /
- mechanical strength

[1]	余泽高,李志新,严波.小麦茎秆机械强度与若干性状的相关性研究. 湖北农业科学, 2003, (4): 11-14(Yu Zegao, Li Zhixin, Yan Bo. Multiple correlation analysis onphysical strength and properties of wheat stalk. Hubei AgriculturalSciences, 2003, (4): 11-14 (in Chinese))
[2]	伍长荣,叶明全.BP神经网络在医院多因素时间序列预测中的应用. 福建电脑, 2005, (1): 38-39 (Wu Changrong, Ye Mingquan. Application of BP neural networkin the hospital multi-factor time series prediction. Fujian Computer,2005, (1): 38-39 (in Chinese))
[3]	陈祥光. 人工神经网络技术及应用. 北京: 中国电力出版社, 2003
[4]	周彩兰,刘敏. BP神经网络在石油产量预测中的应用. 武汉理工大学学报,2009, 31(3): 125-128(Zhou Cailan, Liu Min. Application research on oil productionforecasting based on BP neural network. Journal of Wuhan Universityof Technolog, 2009, 31(3): 125-128 (in Chinese))
[5]	王斌.改进的BP神经网络在隧道岩爆预测中的应用. 交通标准化, 2010,(3): 86-89(Wang Bin. Application of improved bp neural network in tunnelrock burst prediction. Communications Standardization, 2010, (3): 86-89(in Chinese))