Pub Date : 2019-12-06DOI: 10.1002/9781119544678.ch10
Tom Rainforth
Y = { 1 if X1 > 0.4 and X2 > 0.6 0 otherwise We construct the dataset: n <5000 x .4, x[,2] > .6, 0)) r
我们构建数据集:n .4, x[，2] > .6, 0)) r
{"title":"Decision Trees and Random Forests","authors":"Tom Rainforth","doi":"10.1002/9781119544678.ch10","DOIUrl":"https://doi.org/10.1002/9781119544678.ch10","url":null,"abstract":"Y = { 1 if X1 > 0.4 and X2 > 0.6 0 otherwise We construct the dataset: n <5000 x <cbind(runif(n), runif(n)) y <factor(ifelse(x[,1] > .4, x[,2] > .6, 0)) r <data.frame(x, y) We construct a decision tree for this using rpart: tree <rpart(y ~ X1 + X2, data = r, method = \"class\") printcp(tree) We can generate a simple diagram of this tree: plot(tree, compress = TRUE, mar = c(.2, .2, .2, .2)) text(tree, use.n = TRUE) We can generate predictions using this tree on data using the predict function. Here we generate a testing set the same way as the training set above and we find the accuracy of our classifier:","PeriodicalId":344200,"journal":{"name":"Condition Monitoring with Vibration Signals","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125713587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this chapter we have consolidated the mathematical developments necessary to relate the physical system and the differential equation describing it. This included the derivation of the impulse response, step response, and convolution integral. These quantities, which are important to the theory of filtering, were shown to be a function of the L.I. solutions of the homogeneous equation. It is hoped that this time-domain approach has clarified the transition from the basic differential equation concepts to the everyday tools of the linear system analyst.
{"title":"Time Domain Analysis","authors":"H. Blinchikoff, A. Zverev","doi":"10.1049/SBEW008E_ch1","DOIUrl":"https://doi.org/10.1049/SBEW008E_ch1","url":null,"abstract":"In this chapter we have consolidated the mathematical developments necessary to relate the physical system and the differential equation describing it. This included the derivation of the impulse response, step response, and convolution integral. These quantities, which are important to the theory of filtering, were shown to be a function of the L.I. solutions of the homogeneous equation. It is hoped that this time-domain approach has clarified the transition from the basic differential equation concepts to the everyday tools of the linear system analyst.","PeriodicalId":344200,"journal":{"name":"Condition Monitoring with Vibration Signals","volume":"50 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133239298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-06DOI: 10.1002/9781119544678.app1
{"title":"Machinery Vibration Data Resources and Analysis Algorithms","authors":"","doi":"10.1002/9781119544678.app1","DOIUrl":"https://doi.org/10.1002/9781119544678.app1","url":null,"abstract":"","PeriodicalId":344200,"journal":{"name":"Condition Monitoring with Vibration Signals","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129219599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：