Comparison of M5’ model tree with MLR in the development of fault prediction models involving interaction between metrics

被引：0

作者：

Goyal, Rinkaj ^{[1
]}

Chandra, Pravin ^{[1
]}

Singh, Yogesh ^{[1
]}

机构：

[1] USICT, Guru Gobind Singh Indraprastha University, Dwarka,Delhi,78, India

来源：

Lecture Notes in Electrical Engineering | 2015年 / 312卷

关键词：

D O I：

10.1007/978-3-319-06764-3_19

中图分类号：

学科分类号：

摘要：

引用

页码：149 / 155

共 42 条

[31] Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree
Keshtegar, Behrooz
Mert, Cihan
Kisi, Ozgur
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 81 : 330 - 341
[32] Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models
Ozgur Kisi
Kulwinder Singh Parmar
Kirti Soni
Vahdettin Demir
Air Quality, Atmosphere & Health, 2017, 10 : 873 - 883
[33] Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models
Kisi, Ozgur
Parmar, Kulwinder Singh
Soni, Kirti
Demir, Vahdettin
AIR QUALITY ATMOSPHERE AND HEALTH, 2017, 10 (07): : 873 - 883
[34] Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images
Ali Rahimikhoob
Water Resources Management, 2016, 30 : 3063 - 3075
[35] Comparison of M5 Model Tree and Artificial Neural Network's Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images
Rahimikhoob, Ali
WATER RESOURCES MANAGEMENT, 2016, 30 (09) : 3063 - 3075
[36] Assessment of M5 model tree for prediction of azithromycin antibiotic removal by multi-wall carbon nanotubes in a fixed-bed column system
Amiri, Mohammad Javad
Bahrami, Mehdi
Rajabi, Sara
AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY, 2022, 71 (04) : 533 - 545
[37] Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models
Aliakbar Gholampour
Iman Mansouri
Ozgur Kisi
Togay Ozbakkaloglu
Neural Computing and Applications, 2020, 32 : 295 - 308
[38] Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models
Gholampour, Aliakbar
Mansouri, Iman
Kisi, Ozgur
Ozbakkaloglu, Togay
NEURAL COMPUTING & APPLICATIONS, 2020, 32 (01): : 295 - 308
[39] Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
Viet-Ha Nhu
Shahabi, Himan
Nohani, Ebrahim
Shirzadi, Ataollah
Al-Ansari, Nadhir
Bahrami, Sepideh
Miraki, Shaghayegh
Geertsema, Marten
Hoang Nguyen
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (08)
[40] Development of expert systems for the prediction of scour depth under live-bed conditions at river confluences: Application of different types of ANNs and the M5P model tree
Balouchi, Behmam
Nikoo, Mohammad Reza
Adamowski, Jan
APPLIED SOFT COMPUTING, 2015, 34 : 51 - 59

← 1 2 3 4 5 →