摘要
BP人工神经网络技术在环境评价领域中已经得到越来越广泛的运用,将该法引入到陕蒙砒砂岩区沙棘生态功能综合评价的研究中,以沙棘生态功能评价指标标准值作为样本输入,综合评价级别作为网络输出,建立了一个含有4个输入神经元节点、6个隐含神经元节点和1个输出神经元节点的BP人工神经网络等级模型。将目标年(2008年)各评价指标实际数据作为输入,得到输出值是0.44,大于Ⅱ级标准,研究结果表明:砒砂岩区种植十年沙棘后,其生态效益很好,对砒砂岩地区的生态环境改善作用显著。BP神经网络的评价结果与较成熟的AHP-模糊综合评价结果一致,证明将BP人工神经网络模型用于沙棘生态功能评价是可行的,且评价结论客观。
BP artificial neural network technology has been increasingly used widely in the field of environmental assessment. In this paper, the method had been used to evaluate the ecological function of seabuckthom. A level model based on BP-artificial neural network was set up, which contained 4 input layer nodes, 6 cryptic layer nodes and 1 output layer node with index of ecological functions as a sample input and comprehensive assessment level as the network output. The output value was 0.44, greater than grand II standard after actual data of target year（2008） as input. The results showed the seabuckthorn significantly improve the ecological environment after seabuckthorns have been planted for ten years. The results was consistent with those obtained from the more mature AHP-fuzzy comprehensive evaluation method, indicating the BP artificial neural network model for evaluating the ecological functions of seabuckthom was feasible and evaluation result was objective.
出处
《生态科学》
CSCD
2011年第3期269-272,共4页
Ecological Science
基金
水利部沙棘生态治理项目"晋陕蒙砒砂岩区沙棘生态工程"(水规计[1998]111号)
关键词
BP人工神经网络
生态功能
评价模型
沙棘
BP-artificial neural network
ecological function
assessment model
seabuckthorn
