基于遗传神经网络的鄂尔多斯沙棘水土保持功能评价

为明确砒砂岩区"沙棘生态工程"建设十年以来水土流失综合治理的成效,结合人工神经网络技术和遗传算法,构建了一个拓扑结构为6-16-1的GA-BP等级评价模型。该模型以沙棘水土保持功能评价指标数据作为输入,综合评价等级值作为输出,对鄂尔多斯人工沙棘林的水土保持功能进行综合评价。评价结果表明:经过数十年的生态建设,鄂尔多斯市五个旗(区)砒砂岩区的水土流失情况得到了较好的控制,各地人工沙棘林水土保持功能综合评价等级值依次为东胜区>准格尔旗>伊金霍洛旗>达特拉旗>杭锦旗。该模型符合精度误差要求,结果客观稳定,可为日后砒砂岩区沙棘生态工程的持续开展和管理提供有效建议。

Evaluation on soil and water conservation function of seabuckthorn forest in Ordos with genetic algorithms and artificial neural networks

In order to evaluate the effects of the sea-buckthorn ecological project which has been used for controlling soil erosion in sandstone areas for ten years,we took artificial sea-buckthorn forest in Ordos as an example,and made a rank assessment model whose topology structure was 6-16-1(6 input layer nodes,16 cryptic layer nodes and 1 output layer node) based on Genetic Algorithms and BP-artificial neural network.The model used index values of soil and water conservation function of sea-buckthorn as input data and the comprehensive evaluation rank values as output data.The results showed that the status of water and soil erosion of five regions in Ordos was well controlled by sea-buckthorn after ten years’ ecological construction.The order of soil and water conservation function of sea-buckthorn in different areas was Dongsheng District > Zhungeer Banner > Ejin Horo Banner > Dalad Banner > Hanggin Banner.This model met the accuracy requirements and the results were proved to be objective and stable,which can offer effective recommendations to development and management of sea-buckthorn ecological project in sandstone areas.