Delano Brandes Marques, A. G. O. Filho, A. Romariz, I. Viegas, Djavania A. Luz, A. K. D. B. Filho, S. Labidi, A. Ferraudo
{"title":"生物柴油质量统计和神经网络工具的最新进展","authors":"Delano Brandes Marques, A. G. O. Filho, A. Romariz, I. Viegas, Djavania A. Luz, A. K. D. B. Filho, S. Labidi, A. Ferraudo","doi":"10.14355/IJCSA.2014.0303.01","DOIUrl":null,"url":null,"abstract":"The performance of both the traditional linear regression and Artificial Neural Network (ANN) techniques has been compared to check the validity to predict the properties of biodiesel and mixtures of diesel and biodiesel. We present on this paper a review on statistical and ANN applications to the Biodiesel quality. A case study is also presented showing the prediction of oxidative stability of Biodiesel using, for the first time, other official quality parameters instead of the chemical composition as input data. In this sense, our hope is that this paper would complement a series of recent review papers and catalyze future research in this rapidly evolving area.","PeriodicalId":39465,"journal":{"name":"International Journal of Computer Science and Applications","volume":"6 1","pages":"97"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Recent Developments on Statistical and Neural Network Tools Focusing on Biodiesel Quality\",\"authors\":\"Delano Brandes Marques, A. G. O. Filho, A. Romariz, I. Viegas, Djavania A. Luz, A. K. D. B. Filho, S. Labidi, A. Ferraudo\",\"doi\":\"10.14355/IJCSA.2014.0303.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The performance of both the traditional linear regression and Artificial Neural Network (ANN) techniques has been compared to check the validity to predict the properties of biodiesel and mixtures of diesel and biodiesel. We present on this paper a review on statistical and ANN applications to the Biodiesel quality. A case study is also presented showing the prediction of oxidative stability of Biodiesel using, for the first time, other official quality parameters instead of the chemical composition as input data. In this sense, our hope is that this paper would complement a series of recent review papers and catalyze future research in this rapidly evolving area.\",\"PeriodicalId\":39465,\"journal\":{\"name\":\"International Journal of Computer Science and Applications\",\"volume\":\"6 1\",\"pages\":\"97\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Science and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14355/IJCSA.2014.0303.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14355/IJCSA.2014.0303.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
Recent Developments on Statistical and Neural Network Tools Focusing on Biodiesel Quality
The performance of both the traditional linear regression and Artificial Neural Network (ANN) techniques has been compared to check the validity to predict the properties of biodiesel and mixtures of diesel and biodiesel. We present on this paper a review on statistical and ANN applications to the Biodiesel quality. A case study is also presented showing the prediction of oxidative stability of Biodiesel using, for the first time, other official quality parameters instead of the chemical composition as input data. In this sense, our hope is that this paper would complement a series of recent review papers and catalyze future research in this rapidly evolving area.
期刊介绍:
IJCSA is an international forum for scientists and engineers involved in computer science and its applications to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the IJCSA are selected through rigorous peer review to ensure originality, timeliness, relevance, and readability.