Best output prediction in OECD railways using DEA in conjunction with machine learning algorithms
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Best output prediction in OECD railways using DEA in conjunction with machine learning algorithms
Authors
Keywords
-
Journal
ANNALS OF OPERATIONS RESEARCH
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-11-06
DOI
10.1007/s10479-023-05668-w
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Performance prediction of a textile reverse logistics system using DEA and ANFIS hybrid models
- (2023) Peter Davis Sumo et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Improvement Pathways for Urban Land Use Efficiency in the Beijing-Tianjin-Hebei Urban Agglomeration at the County Level: A Context-Dependent DEA Based on the Closest Target
- (2023) Ye Tian et al. International Journal of Environmental Research and Public Health
- A deep learning-based approach for performance assessment and prediction: A case study of pulp and paper industries
- (2022) Sunil Kumar Jauhar et al. ANNALS OF OPERATIONS RESEARCH
- Efficiency assessment of Japanese National Railways before and after privatization and divestiture using data envelopment analysis
- (2022) Tadaaki Tomikawa et al. Transport Policy
- Elasticity measurement on multiple levels of DEA frontiers: an application to agriculture
- (2022) Seda Busra Sarac et al. JOURNAL OF PRODUCTIVITY ANALYSIS
- Performance prediction of DMUs using integrated DEA-SVR approach with imprecise data: application on Indian banks
- (2022) Nishtha et al. SOFT COMPUTING
- Travelers on the Railway: An Economic Growth Model of the Effects of Railway Transportation Infrastructure on Consumption and Sustainable Economic Growth
- (2021) Congliang Wu et al. Sustainability
- Abrasive tool wear prediction based on an improved hybrid difference grey wolf algorithm for optimizing SVM
- (2021) Yu Liang et al. MEASUREMENT
- Efficiencies of the urban railway lines incorporating financial performance and in-vehicle congestion in the Tokyo Metropolitan Area
- (2021) Yiping Le et al. Transport Policy
- SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting
- (2020) Georgios N. Kouziokas APPLIED SOFT COMPUTING
- Short-term wind speed forecasting based on the Jaya-SVM model
- (2020) Mingshuai Liu et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Ranking sustainable suppliers by context-dependent data envelopment analysis
- (2019) Mohammad Izadikhah et al. ANNALS OF OPERATIONS RESEARCH
- Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
- (2018) Dervis Karaboga et al. ARTIFICIAL INTELLIGENCE REVIEW
- Two-step benchmarking: Setting more realistically achievable targets in DEA
- (2018) Nuria Ramón et al. EXPERT SYSTEMS WITH APPLICATIONS
- Efficiency in Asian railways: a comparison between data envelopment analysis approaches
- (2018) Peter Wanke et al. TRANSPORTATION PLANNING AND TECHNOLOGY
- A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016
- (2018) Ali Emrouznejad et al. SOCIO-ECONOMIC PLANNING SCIENCES
- Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling
- (2017) He-Boong Kwon INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Integrating inverse data envelopment analysis and neural network to preserve relative efficiency values
- (2017) D. Modhej et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Two-stage production modeling of large U.S. banks: A DEA-neural network approach
- (2015) He-Boong Kwon et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Rolling Grey Model Optimized by Particle Swarm Optimization in Economic Prediction
- (2014) Li Liu et al. COMPUTATIONAL INTELLIGENCE
- Efficiency determinations of the worldwide railway companies via DEA and contributions of the outputs to the efficiency and TFP by panel regression
- (2013) Ali Kabasakal et al. Central European Journal of Operations Research
- A neuro-fuzzy-multivariate algorithm for accurate gas consumption estimation in South America with noisy inputs
- (2012) Ali Azadeh et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- An approach based on ANFIS input selection and modeling for supplier selection problem
- (2011) Ali Fuat Güneri et al. EXPERT SYSTEMS WITH APPLICATIONS
- Railway reforms: do they influence operating efficiency?
- (2009) Mette Asmild et al. TRANSPORTATION
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started