Li Yan-qing, Huang Zhi-ying, Ge Jing-feng, Jia Qiang, Chen Jing, Fan Yu-zhong
{"title":"基于人工神经网络的山区生态安全预测研究——以石家庄区西部山区为例","authors":"Li Yan-qing, Huang Zhi-ying, Ge Jing-feng, Jia Qiang, Chen Jing, Fan Yu-zhong","doi":"10.1109/CINC.2010.5643781","DOIUrl":null,"url":null,"abstract":"Ecological environment security had aroused more and more attentions, and became the focus of human society. The thesis took western mountain areas in Shijiazhuang District for study area, established ecological security prediction indexes under the model of Pressure-State-Response(PSR), and predicted standardized value of each index by using artificial neural network model, then predicted the development trend of ecological security condition in the next 9 years through ecological security calculation and trend curve. Results were as follows: the overall ecological security degree would present rising trend, it would be “better” state in 2007∼2015, and the maximum value would be 0.6940 in 2015, increased by 74.96% than that of 1996 and 21.58% than that of 2006. However, the ecological security degrees would be less than 0.8 each year, showing that the regional ecological environment problems were not completely solved, should take further measures to protect the ecological environment.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on ecological security prediction in mountain areas based on the artificial neural network —Taken western mountain areas in Shijiazhuang District for example\",\"authors\":\"Li Yan-qing, Huang Zhi-ying, Ge Jing-feng, Jia Qiang, Chen Jing, Fan Yu-zhong\",\"doi\":\"10.1109/CINC.2010.5643781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ecological environment security had aroused more and more attentions, and became the focus of human society. The thesis took western mountain areas in Shijiazhuang District for study area, established ecological security prediction indexes under the model of Pressure-State-Response(PSR), and predicted standardized value of each index by using artificial neural network model, then predicted the development trend of ecological security condition in the next 9 years through ecological security calculation and trend curve. Results were as follows: the overall ecological security degree would present rising trend, it would be “better” state in 2007∼2015, and the maximum value would be 0.6940 in 2015, increased by 74.96% than that of 1996 and 21.58% than that of 2006. However, the ecological security degrees would be less than 0.8 each year, showing that the regional ecological environment problems were not completely solved, should take further measures to protect the ecological environment.\",\"PeriodicalId\":227004,\"journal\":{\"name\":\"2010 Second International Conference on Computational Intelligence and Natural Computing\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computational Intelligence and Natural Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINC.2010.5643781\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computational Intelligence and Natural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINC.2010.5643781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on ecological security prediction in mountain areas based on the artificial neural network —Taken western mountain areas in Shijiazhuang District for example
Ecological environment security had aroused more and more attentions, and became the focus of human society. The thesis took western mountain areas in Shijiazhuang District for study area, established ecological security prediction indexes under the model of Pressure-State-Response(PSR), and predicted standardized value of each index by using artificial neural network model, then predicted the development trend of ecological security condition in the next 9 years through ecological security calculation and trend curve. Results were as follows: the overall ecological security degree would present rising trend, it would be “better” state in 2007∼2015, and the maximum value would be 0.6940 in 2015, increased by 74.96% than that of 1996 and 21.58% than that of 2006. However, the ecological security degrees would be less than 0.8 each year, showing that the regional ecological environment problems were not completely solved, should take further measures to protect the ecological environment.