摘要
在已进行岩溶山区坡耕地11°、17°、23°等3个典型坡度石坎坡改梯保水、保土、保肥效益田间试验测定的基础上,用降雨侵蚀力、坡耕地坡度与其相应的石坎坡改梯效益指标测定值。建立2-368-8结构的BP人工神经网络模型。在训练达到精度要求的条件下,模拟得出较为全面的10°-25°坡耕地石坎坡改梯各项效益指标值。图1,表3,参6。
Three typical slope fields of 11°, 17°, 23°were changed into terrace with stone bank in the karst mountains, and field measurements of benefit from water and soil and fertilizer conservation were made. Use the rainfall erosivity, gradient and corresponding measurement data of every benefit index, the BP artificial neural network model of 2-368-8 structure is set up. On the condition that the precision of simulation has fulfilled the requirement by training, more comprebensive benefit index data of 10°- 25°slope fields changed into terrace with stone bank are obtained by simulation.
出处
《农业系统科学与综合研究》
CSCD
2006年第4期288-291,共4页
System Sciemces and Comprehensive Studies In Agriculture
基金
水利部长江上游水土保持重点防治工程专项科研课题
关键词
石坎坡改梯
人工神经网络
模拟
水土保持
slope fields
slope fields changed into terrace with stone bank
benefit
index
BP artificial neural network
simulation
作者简介
罗林（1962-）,男,贵州织金人,研究员,主要研究方向为水土保持监测及防治技术.
