检索结果-南通市图书馆

第15届世界禽病大会、中国畜牧兽医学会2007年学术年会

作者： S. akir M.Midilli H.Erol n.Simsek n. inar A.Altin.a H.Alp L.Altin.a .Cen.iz A.An.alyali 周宏专 Un.versity ofAban. Izzet Baysal Mudurn. Süreyya Astarct Vocation.l School of Higher Education Poultry Departmen. Bolu Türkiye Un.versity ofAban. Izzet Baysal Mudurn. Süreyya Astarct Vocation.l School of Higher Education Poultry Departmen. Bolu Türkiye Un.versity ofAban. Izzet Baysal Mudurn. Süreyya Astarct Vocation.l School of Higher Education Poultry Departmen. Bolu Türkiye Un.versity of Atatürk Faculty of Veterinary Medicin..Departmen. of Histology Erzurum Türkiye Un.versity of Kirikkale Faculty of Veterinary Medicin..Departmen. of Biochemistry Kirikkale Türkiye Un.versity of An.ara Faculty of Veterinary Medicin. Departmen. of Biochemistry An.ara Türkiye Un.versity of An.ara Faculty of Veterinary Medicin..Departmen. of Pharmacology an. Toxicology An.ara Türkiye Un.versity of An.ara Faculty of Veterinary Medicin..Departmen. of Pharmacology an. Toxicology An.ara Türkiye Un.versity ofAdn.n.Men.eres Faculty of Veterinary Medicin. Departmen. of An.mal n.trition.an. n.trition.l Disease Aydm Türkiye Un.versity of An.ara Faculty of Veterinary Medicin. Departmen. of An.mal Scien.e An.ara Türkiye

本研究的目的是比较 Biomin.?) IMBO(由益生菌、prebiotic、植物性物质和细胞壁碎片组成)、Biotron.c (由甲酸和基于一无机 phyllo-硅酸盐载体的丙酸组成),Biomin.?) IMBO+Biotron.c 和卑霉素组合作为饲料

关键词：卑霉素组合使用益生菌日本鹌鹑

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Usin. Support Vector Machin.s an. n.ural n.tworks to classify Merlot win.s from South America

引用

In.ormation.Processin. in.Agriculture 2019年第2期6卷 265-278页

作者： n.ttan. Luı´za Costa Laura An.rea Garcı´a Llobodan.n.inar Alves Castro Rommel Barbosa In.tituto de In.orma´tica Universidade Federal de Goia´sGoiaˆnia-GoBrazil LADAF-Laboratory of Fun.tion.l Foods Department of Food and Experimental NutritionFaculty of Pharmaceutical SciencesUniversity of Sa˜o PauloAv.Lineu Prestes580B1405508-900 Sa˜o PauloBrazil

Win.s with a clear geographical origin.are an.issue of in.erest for con.umers an. food *** paper presen.s a data min.n. study of Merlot win.s from South America to iden.ify the fin.erprin. of their geographical origin.A group of samples from Argen.in.(n.17),Brazil(n.12),Chile(n.48),an. Uruguay(n.6)was *** chemical compoun.s were determin.d by high-performan.e liquid chromatography(HPLC).These compoun.s in.lude an.ioxidan. activity,total polyphen.ls,total an.hocyan.n.,in.ividual an.hocyan.n. an. *** binary classification.problems were performed(Brazil versus n.n.Brazil,Argen.in. versus n.n.Argen.in.,Chile versus n.n.Chile,an. Uruguay versus n.n.Uruguay)to in.estigate the geographic characteristics of each *** the evaluation.of binary classification. in.our dataset it was possible to iden.ify the main.variables(chemical compoun.s)that discrimin.te between.the *** used the followin. algorithms:Syn.hetic Min.rity over-sample Techn.que an. un.er-samplin. to balan.e the dataset of each classification.approach,the Relief algorithm to obtain.a variable importan.e ran.in. an. the classifiers Support Vector Machin.s,Multilayer Perceptron.an. Radial Basis Fun.tion.n.twork with dyn.mic decay *** model obtain.d the highest performan.e measures amon. the classifiers for each dataset(93.73%of accuracy for the Brazil versus n.n.Brazil,91.18%for the Argen.in. versus n.n.Argen.in.,79.16%for the Chile versus n.n.Chile,an. 91.67%for the Uruguay versus n.n.Uruguay classification..These accuracies were achieved by the search of the possible variable subsets accordin. to Relief for each classification.*** foun. that some variables,such as DPPH,win. color an. in.ividual an.hocyan.n.,are amon. the most importan. variables in.the characterization.of Merlot win.s.

关键词： Support Vector Machin. Multilayer Perceptron An.hocyan.n. Feature selection Merlot win.s South America win.s

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Predictive modelin. for win. authen.icity usin. a machin. learn.n. approach

引用

Artificial In.elligen.e in.Agriculture 2021年第1期5卷 157-162页

作者： n.ttan. Luíza da Costa Leon.rdo A.Valen.in.inar Alves Castro Rommel Melgaço Barbos In.tituto de In.ormática Universidade Federal de GoiásGoiânia-GoBrazil In.ormatics n.cleo Goiano Federal Institute of EducationScience and TechnologyCampus UrutaíRodovia Geraldo Silva Nascimentokm 2.5Zona RuralBloco de InformáticaUrutaíGOBrazil LADAF Department of Food and Experimental NutritionFaculty of Pharmaceutical SciencesUniversity of São PauloAv.Lineu Prestes580B1405508-900 São PauloBrazil

The purpose of this paper is to classify win.s from 4 differen. coun.ries in.South *** class of win.s is formed by samples con.idered by experts as represen.atives of the followin. commercial categories:“Argen.in.an.Malbec(AM)”,“Brazilian.Merlot(BM)”,“Uruguayan.Tan.at(UT)”an.“Chilean.Carmén.re(CC)”.The 83 samples collected were an.lyzed accordin. to their composition.of volatiles,semi-volatiles an. phen.lic *** built a decision.system for classification.based on.support vector machin.s(SVM),alon. with Correlation.based Feature selection.CFS),an. Ran.omForest Importan.e(RFI),whichmeasures the relative importan.e of the in.ut ***,we use CFS to select a subset of variables amon. 190 chemical *** chemicals were selected as correlated to the category an. un.orrelated with each ***,these chemical compoun.s were organ.zed accordin. to the importan.e ran.in. given.by the RFI an. classified with *** study clearly in.icated that SVMin.combin.tion.with feature selection.methodswas able to iden.ify the most importan. chemicals to classify the win. *** the compoun.s iden.ified in.the win. samples,the variable subset defin.d by the feature selection.methods,which were catechin.gallic,octan.ic acid,myricetin.caffeic,isobutan.l,resveratrol,kaempferol,an. ORAC,were able to achieve an.accuracy of 93.97%in.classifyin. the commercial categories.

关键词： Win. classification Support vector machin.s Feature selection South American.win.s Machin. learn.n.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：