A. N. Kolesenkov, B. Kostrov, E. Ruchkina, V. Ruchkin
{"title":"基于模糊神经网络的人为态势表达监测","authors":"A. N. Kolesenkov, B. Kostrov, E. Ruchkina, V. Ruchkin","doi":"10.1109/MECO.2014.6862684","DOIUrl":null,"url":null,"abstract":"The article is devoted to reducing the risk of decision-making on the natural and manmade critical emergency prevention by means of specialized processing of remote earth sensing data on the basis of neural fuzzy inference networks. The fire monitoring and predicting algorithm based on the spectrum processing of the satellite images is suggested. The operability testing of the suggested technology was conducted on the base of NM640X neuroprocessor.","PeriodicalId":416168,"journal":{"name":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","volume":"50 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Anthropogenic situation express monitoring on the base of the fuzzy neural networks\",\"authors\":\"A. N. Kolesenkov, B. Kostrov, E. Ruchkina, V. Ruchkin\",\"doi\":\"10.1109/MECO.2014.6862684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article is devoted to reducing the risk of decision-making on the natural and manmade critical emergency prevention by means of specialized processing of remote earth sensing data on the basis of neural fuzzy inference networks. The fire monitoring and predicting algorithm based on the spectrum processing of the satellite images is suggested. The operability testing of the suggested technology was conducted on the base of NM640X neuroprocessor.\",\"PeriodicalId\":416168,\"journal\":{\"name\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"50 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2014.6862684\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2014.6862684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Anthropogenic situation express monitoring on the base of the fuzzy neural networks
The article is devoted to reducing the risk of decision-making on the natural and manmade critical emergency prevention by means of specialized processing of remote earth sensing data on the basis of neural fuzzy inference networks. The fire monitoring and predicting algorithm based on the spectrum processing of the satellite images is suggested. The operability testing of the suggested technology was conducted on the base of NM640X neuroprocessor.
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