M. Hasanov, A. Zakovorotniy, S. Leonov, G. Khrypunov, V. Dmitrienko, A. Klochko
{"title":"比较发电对象的智能方法","authors":"M. Hasanov, A. Zakovorotniy, S. Leonov, G. Khrypunov, V. Dmitrienko, A. Klochko","doi":"10.1109/IEPS51250.2020.9263211","DOIUrl":null,"url":null,"abstract":"A new method of synthesizing neural network for comparing, identifying, and classifying various objects through bipolar encoding of their attributes is offered. The mentioned method broadens the neuron network applicability sphere for solving tasks of identification and classification due to the use of proximity functions applying finer proximity attributes for discrete objects than the Hemming’s distance.","PeriodicalId":235261,"journal":{"name":"2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Intellectual methods of comparing power generating objects\",\"authors\":\"M. Hasanov, A. Zakovorotniy, S. Leonov, G. Khrypunov, V. Dmitrienko, A. Klochko\",\"doi\":\"10.1109/IEPS51250.2020.9263211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method of synthesizing neural network for comparing, identifying, and classifying various objects through bipolar encoding of their attributes is offered. The mentioned method broadens the neuron network applicability sphere for solving tasks of identification and classification due to the use of proximity functions applying finer proximity attributes for discrete objects than the Hemming’s distance.\",\"PeriodicalId\":235261,\"journal\":{\"name\":\"2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEPS51250.2020.9263211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEPS51250.2020.9263211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intellectual methods of comparing power generating objects
A new method of synthesizing neural network for comparing, identifying, and classifying various objects through bipolar encoding of their attributes is offered. The mentioned method broadens the neuron network applicability sphere for solving tasks of identification and classification due to the use of proximity functions applying finer proximity attributes for discrete objects than the Hemming’s distance.