中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > BP网络海上石油平台溢油污染等级评估方法 海洋湖沼通报 2011 (1) 117-123
Position: Home > Articles > APPLICATION OF BP NEURAL NETWORK TO ASSESS THE POLLUTION LEVEL OF OIL SPILL ON THE OFFSHORE PLATFORM Transactions of Oceanology and Limnology 2011 (1) 117-123

BP网络海上石油平台溢油污染等级评估方法

作  者：
郎印海;刘洁;贾永刚;崔文林
单  位：
海洋环境与生态教育部重点实验室;中国海洋大学环境科学与工程学院
关键词：
BP网络;溢油;评价指标体系;污染等级;训练样本
摘  要：
通过分析与溢油污染程度有关的影响因素,首次构建了海上石油平台溢油污染程度评价指标体系。针对模型无样本的难题,对评价指标进行分级,利用Rand函数在各分级标准内随机生成足够数量的训练和测试样本,建立了较合理的网络结构,构建了石油平台溢油污染等级BP网络模型。研究结果表明BP网络模型具有很强的泛化能力,能够用于评判未知样本,具有较强的实用性。
译  名：
APPLICATION OF BP NEURAL NETWORK TO ASSESS THE POLLUTION LEVEL OF OIL SPILL ON THE OFFSHORE PLATFORM
作  者：
LANG Yinhai1,2,LIU Jie1,2,JIA Yonggang1,2,and CUI Wenlin3(1.Key Lab of Marine Environmental Science and Ecology,Ministry of Education,OceanUniversity of China,Qingdao 266100,China;2.College of Environmental Science andEngineering,Ocean University of China,Qingdao 266100,China;3.North China SeaMonitoring Center,SOA,Qingdao 266033,China)
关键词：
BP network;oil spill;assessment index system;pollution level;training sample
摘  要：
Assessment index system of oil spill for the offshore oil platform was established for the first time by analyzing the influenced factors related to the degree of oil pollution.To solve the problem of non-samples,every assessment index was divided into several grades and the Rand function was used to generate enough training samples and test samples.A more reasonable network structure was established and a BP neural network model of the degree of oil pollution was finally set up.The results showed that the model had good generalization,and it not only could be used to evaluate unknown samples but also had a strong practical value.

相似文章

导出引用
计量
文章访问数: 9
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46