{"title":"基于线性回归和神经网络的生物过程区域模型","authors":"P. Radonja, S. Stankovic, B. Matović, D. Dražić","doi":"10.1109/NEUREL.2006.341209","DOIUrl":null,"url":null,"abstract":"In this paper linear regression and neural networks are used for obtaining regional models of biological processes. Regional models enable getting the most important regional characteristics without detailed measurements on all individual objects. Testing of the obtained regional model by using data samples is done. A very high correlation is obtained between real data and data computed on the basis of regional models. It is shown that application of NNs provides better regional models than those obtained by linear regression","PeriodicalId":231606,"journal":{"name":"2006 8th Seminar on Neural Network Applications in Electrical Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Regional Models for Biological Processes Based on Linear Regression and Neural Networks\",\"authors\":\"P. Radonja, S. Stankovic, B. Matović, D. Dražić\",\"doi\":\"10.1109/NEUREL.2006.341209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper linear regression and neural networks are used for obtaining regional models of biological processes. Regional models enable getting the most important regional characteristics without detailed measurements on all individual objects. Testing of the obtained regional model by using data samples is done. A very high correlation is obtained between real data and data computed on the basis of regional models. It is shown that application of NNs provides better regional models than those obtained by linear regression\",\"PeriodicalId\":231606,\"journal\":{\"name\":\"2006 8th Seminar on Neural Network Applications in Electrical Engineering\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 8th Seminar on Neural Network Applications in Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEUREL.2006.341209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 8th Seminar on Neural Network Applications in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2006.341209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Regional Models for Biological Processes Based on Linear Regression and Neural Networks
In this paper linear regression and neural networks are used for obtaining regional models of biological processes. Regional models enable getting the most important regional characteristics without detailed measurements on all individual objects. Testing of the obtained regional model by using data samples is done. A very high correlation is obtained between real data and data computed on the basis of regional models. It is shown that application of NNs provides better regional models than those obtained by linear regression
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