search-head

Sie sind hier: Homepage >  Suche

Architektur   Auswahl aufheben

Synonyme wurden verwendet für: RF • forest • model
Suche ohne Synonyme: keywords:(Random forest model (RF))

1–9 von 9 Ergebnissen
|
Sortieren:

    Determinants of passengers' ticketing channel choice in rail transit systems: New evidence of e-payment behaviors from Xi'an, China

    Li, Xiaowei / Shi, Lanxin / Tang, Junqing et al. | Elsevier | 2023
    Schlagwörter: Random forest model (RF)

    Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method

    Zhao, Hui / Gunardi, Willy / Liu, Yang et al. | ASCE | 2022
    Schlagwörter: Random forest (RF) , Clustering model

    Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Yan, Xiang / Liu, Xinyu / Zhao, Xilei | Elsevier | 2020
    Schlagwörter: Random forest , Direct demand model

    Analyzing the effects of congestion on planning time index – Grey models vs. random forest regression

    Freier Zugriff
    Shahriar Afandizadeh Zargari / Navid Amoei Khorshidi / Hamid Mirzahossein et al. | DOAJ | 2023
    Schlagwörter: Grey models , Random forest

    Development and evaluation of frameworks for real-time bus passenger occupancy prediction

    Freier Zugriff
    Jonathan Wood / Zhengyao Yu / Vikash V. Gayah | DOAJ | 2023
    Schlagwörter: Regression model , Random forest model

    Exploring regional sustainable commuting patterns based on dockless bike-sharing data and POI data

    Wang, Ruoxuan / Wu, Jianping / Qi, Geqi | Elsevier | 2022
    Schlagwörter: Random forest model

    Determination of the Critical Slip Surface of Slope Based on the Improved Quantum Genetic Algorithm and Random Forest

    Xu, Zhaoxia / Zhou, Xiaoping | Springer Verlag | 2022
    Schlagwörter: Random forest (RF)

    Ensemble-Based Methodology to Identify Optimal Personal Mobility Service Areas Using Public Data

    Lee, Sangjae / Son, Seung-oh / Park, Juneyoung et al. | Springer Verlag | 2022
    Schlagwörter: Ensemble model , Random forest

    Ride-pooling demand prediction: A spatiotemporal assessment in Germany

    Zwick, Felix / Axhausen, Kay W. | Elsevier | 2022
    Schlagwörter: random-effects negative binomial , RF , random forest , spatial error model , spatial Durbin error model

Ergebnisse anzeigen
10 50

Suchergebnisse filtern