{"title":"神经网络的自组织修正","authors":"K. Neusipin, D. O. Sholohov","doi":"10.1109/SIBCON.2009.5044840","DOIUrl":null,"url":null,"abstract":"Algorithm of modified neural network based on Volterra kind network with the weight coefficients formed by the selforganization method was developed. Modified algorithm of neural network in comparison with usual algorithm needs less computer memory and also a shorter time period to complete, which is very important for onboard digital computers.","PeriodicalId":164545,"journal":{"name":"2009 International Siberian Conference on Control and Communications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modification of neural network by the self-organization method\",\"authors\":\"K. Neusipin, D. O. Sholohov\",\"doi\":\"10.1109/SIBCON.2009.5044840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Algorithm of modified neural network based on Volterra kind network with the weight coefficients formed by the selforganization method was developed. Modified algorithm of neural network in comparison with usual algorithm needs less computer memory and also a shorter time period to complete, which is very important for onboard digital computers.\",\"PeriodicalId\":164545,\"journal\":{\"name\":\"2009 International Siberian Conference on Control and Communications\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Siberian Conference on Control and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBCON.2009.5044840\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Siberian Conference on Control and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON.2009.5044840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modification of neural network by the self-organization method
Algorithm of modified neural network based on Volterra kind network with the weight coefficients formed by the selforganization method was developed. Modified algorithm of neural network in comparison with usual algorithm needs less computer memory and also a shorter time period to complete, which is very important for onboard digital computers.