{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T07:13:32Z","timestamp":1760426012271,"version":"3.41.2"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T00:00:00Z","timestamp":1638403200000},"content-version":"vor","delay-in-days":335,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["411771215"],"award-info":[{"award-number":["411771215"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>With the rapid development of the economy and society, geological disasters such as landslides, collapses, and mudslides have shown an intensifying trend, seriously endangering the safety of people\u2019s lives and property, and affecting the sustainable development of the economy and society. Aiming at the problems of merging different data layers and determining the weighting of data stacking in the statistical analysis model based on GIS technology in the evaluation of the risk of geological disasters, this study proposes a logistic regression model combined with the RBFNN\u2010GA algorithm, that is, the determination of the occurrence of geological disasters. The fusion coefficient (CF value) with the RBFNN\u2010GA algorithm model, and with the help of SPSS statistical analysis software, solves the problem of factor selection, heterogeneous data merging, and weighting of each data layer in the risk assessment. In the experimental stage, this study adopts the method of geological hazard certainty coefficients to carry out the sensitivity analysis of the geological hazards in the study area. Using homogeneous grid division, the spatial quantitative evaluation of the risk of geological disasters is realized, and at the same time, the results of the spatial quantitative evaluation of the risk of geological disasters are tested according to the latest landslide points in the region. The existing classification mainly depends on the acquisition of land use\/cover information or the processing method of the acquired information, but the existing information acquisition will be limited by time, space, and spectral resolution. The results show that the number of landslide points per unit area in the extremely unstable zone and the unstable zone is 0.0395 points\/km<jats:sup>2<\/jats:sup> and 0.0251 points\/km<jats:sup>2<\/jats:sup>, respectively, which is much higher than 0.0038 points\/km<jats:sup>2<\/jats:sup> in the stable zone, indicating the evaluation results and actual landslide conditions.<\/jats:p>","DOI":"10.1155\/2021\/2677453","type":"journal-article","created":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T16:24:05Z","timestamp":1638462245000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Research on the Application of GIS Technology Combined with RBFNN\u2010GA Algorithm in the Delineation of Geological Hazard Prone Areas"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2685-6865","authenticated-orcid":false,"given":"Tianwang","family":"Lei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2852-2498","authenticated-orcid":false,"given":"Yao","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4907-0638","authenticated-orcid":false,"given":"Chong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5443-9412","authenticated-orcid":false,"given":"Jing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4370-5679","authenticated-orcid":false,"given":"Qi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,12,2]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.03.030"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108370"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04987-4"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/amm.37-38.564"},{"key":"e_1_2_8_5_2","doi-asserted-by":"publisher","DOI":"10.1080\/19475705.2020.1774427"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12517-019-4761-x"},{"key":"e_1_2_8_7_2","article-title":"Application of GIS rapid mapping technology in disaster monitoring","volume":"42","author":"Zhigang W.","year":"2018","journal-title":"Remote Sensing and Spatial Information Sciences"},{"key":"e_1_2_8_8_2","doi-asserted-by":"publisher","DOI":"10.2174\/0929866053765707"},{"key":"e_1_2_8_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01104-w"},{"key":"e_1_2_8_10_2","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi8060266"},{"key":"e_1_2_8_11_2","doi-asserted-by":"publisher","DOI":"10.1080\/17477891.2019.1671785"},{"key":"e_1_2_8_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01173-x"},{"key":"e_1_2_8_13_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-61355-x"},{"key":"e_1_2_8_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-70042-3_29"},{"key":"e_1_2_8_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13198-017-0638-0"},{"key":"e_1_2_8_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107691"},{"key":"e_1_2_8_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-5687-1_49"},{"key":"e_1_2_8_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2019.105701"},{"key":"e_1_2_8_19_2","doi-asserted-by":"crossref","unstructured":"LiD. 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Research and design of mineral resource management system based on big data and GIS technology Proceedings of the 2020 5th IEEE International Conference on Big Data Analytics (ICBDA) May 2020 Xiamen China https:\/\/doi.org\/10.1109\/icbda49040.2020.9101268.","DOI":"10.1109\/ICBDA49040.2020.9101268"},{"key":"e_1_2_8_20_2","doi-asserted-by":"publisher","DOI":"10.18494\/sam.2018.1770"},{"key":"e_1_2_8_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.applthermaleng.2017.12.129"},{"key":"e_1_2_8_22_2","doi-asserted-by":"publisher","DOI":"10.4236\/gep.2021.98010"},{"key":"e_1_2_8_23_2","doi-asserted-by":"publisher","DOI":"10.3390\/sym12121954"},{"key":"e_1_2_8_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jweia.2020.104436"},{"key":"e_1_2_8_25_2","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-2017-191"},{"key":"e_1_2_8_26_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12665-018-7488-1"},{"key":"e_1_2_8_27_2","doi-asserted-by":"publisher","DOI":"10.1063\/1.5107440"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/2677453.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/2677453.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/2677453","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T10:50:15Z","timestamp":1722941415000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/2677453"}},"subtitle":[],"editor":[{"given":"Akshi","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/2677453"],"URL":"https:\/\/doi.org\/10.1155\/2021\/2677453","archive":["Portico"],"relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"type":"print","value":"1687-5265"},{"type":"electronic","value":"1687-5273"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-10-09","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-11-15","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-12-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2677453"}}