Neural-network-based models for short-term traffic flow forecasting using a hybrid exponential smoothing and Levenberg–Marquardt algorithm

KY Chan, TS Dillon, J Singh… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper proposes a novel neural network (NN) training method that employs the hybrid
exponential smoothing method and the Levenberg-Marquardt (LM) algorithm, which aims to …
被引用次数：504 相关文章

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

TS Dillon, J Singh, E Chang, KY Chan - IEEE Transactions on Intelligent …, 2012 - trid.trb.org
This paper proposes a novel neural network (NN) training method that employs the hybrid
exponential smoothing method and the Levenberg-Marquardt (LM) algorithm, which aims to …

Neural Network Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

KY Chan, T Dillon, J Singh… - IEEE Transactions on …, 2011 - espace.curtin.edu.au
This paper proposes a novel neural network (NN) training method that employs the hybrid
exponential smoothing method and the Levenberg–Marquardt (LM) algorithm, which aims to …

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

KY Chan, TS Dillon, J Singh, E Chang - IEEE Transactions on Intelligent …, 2012 - dl.acm.org
This paper proposes a novel neural network (NN) training method that employs the hybrid
exponential smoothing method and the Levenberg–Marquardt (LM) algorithm, which aims to …

[引用][C] Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

KY Chan, TS Dillon, J Singh, E Chang - IEEE Transactions on Intelligent …, 2012 - cir.nii.ac.jp
Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid
Exponential Smoothing and Levenberg–Marquardt Algorithm | CiNii Research CiNii 国立情報学 …

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

KY Chan, TS Dillon, J Singh, E Chang - IEEE Transactions on Intelligent …, 2012 - infona.pl
This paper proposes a novel neural network (NN) training method that employs the hybrid
exponential smoothing method and the Levenberg–Marquardt (LM) algorithm, which aims to …
[PDF] academia.edu

[PDF][PDF] Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

KY Chan, TS Dillon, J Singh, E Chang - IEEE TRANSACTIONS ON …, 2012 - academia.edu
This paper proposes a novel neural network (NN) training method that employs the hybrid
exponential smoothing method and the Levenberg–Marquardt (LM) algorithm, which aims to …

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

KY Chan, TS Dillon, J Singh, E Chang - IEEE Transactions on Intelligent …, 2012 - infona.pl
This paper proposes a novel neural network (NN) training method that employs the hybrid
exponential smoothing method and the Levenberg–Marquardt (LM) algorithm, which aims to …