{"title":"多层人工神经网络在农区欧椋鸟检测中的应用","authors":"P. Doležel, P. Rozsival, M. Mariska","doi":"10.1109/RADIOELEK.2015.7129029","DOIUrl":null,"url":null,"abstract":"The use of neural network classifier to recognize a pest bird in agricultural areas is presented in this contribution. Firstly, the idea of comprehensive system of protection against pest birds is outlined. Then, the method of detection is described, the process of neural network design is illustrated and, in the end, the neural network is validated using data gathered in fields.","PeriodicalId":193275,"journal":{"name":"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"European starling detection in agricultural areas using multilayer artificial neural network\",\"authors\":\"P. Doležel, P. Rozsival, M. Mariska\",\"doi\":\"10.1109/RADIOELEK.2015.7129029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of neural network classifier to recognize a pest bird in agricultural areas is presented in this contribution. Firstly, the idea of comprehensive system of protection against pest birds is outlined. Then, the method of detection is described, the process of neural network design is illustrated and, in the end, the neural network is validated using data gathered in fields.\",\"PeriodicalId\":193275,\"journal\":{\"name\":\"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADIOELEK.2015.7129029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADIOELEK.2015.7129029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
European starling detection in agricultural areas using multilayer artificial neural network
The use of neural network classifier to recognize a pest bird in agricultural areas is presented in this contribution. Firstly, the idea of comprehensive system of protection against pest birds is outlined. Then, the method of detection is described, the process of neural network design is illustrated and, in the end, the neural network is validated using data gathered in fields.