A novel hybrid model combining a fuzzy inference system and a deep learning method for short-term traffic flow prediction

Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches

(2022) Min Yan Chia et al.   APPLIED SOFT COMPUTING

Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model

(2021) Zhanguo Song et al.   EXPERT SYSTEMS WITH APPLICATIONS

Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks

(2021) Ahmad Ali et al.   INFORMATION SCIENCES

Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

(2021) Ahmad Ali et al.   NEURAL NETWORKS

Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast

(2020) Tao Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

(2020) Toon Bogaerts et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Dynamic Spatial-temporal Feature Optimization with ERI Big Data for Short-term Traffic Flow Prediction

(2020) Linjiang Zheng et al.   NEUROCOMPUTING

Traffic Flow Prediction at Varied Time Scales via Ensemble Empirical Mode Decomposition and Artificial Neural Network

(2020) Xinqiang Chen et al.   Sustainability

A combined method for short-term traffic flow prediction based on recurrent neural network

(2020) Saiqun Lu et al.   Alexandria Engineering Journal

Prediction of traffic flow with small time granularity at intersection based on probabilistic network

(2020) Wenbin Xiao et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting

(2020) Huakang Lu et al.   NEUROCOMPUTING

Traffic flow prediction based on combination of support vector machine and data denoising schemes

(2019) Jinjun Tang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Deep learning based short-term air traffic flow prediction considering temporal–spatial correlation

(2019) Yi Lin et al.   AEROSPACE SCIENCE AND TECHNOLOGY

An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction

(2019) Chao Luo et al.   APPLIED SOFT COMPUTING

An adaptive hybrid model for short-term urban traffic flow prediction

(2019) Qinzhong Hou et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

CTS-LSTM: LSTM-based neural networks for correlatedtime series prediction

(2019) Huaiyu Wan et al.   KNOWLEDGE-BASED SYSTEMS

Short-term traffic flow prediction based on faded memory Kalman Filter fusing data from connected vehicles and Bluetooth sensors

(2019) Azadeh Emami et al.   SIMULATION MODELLING PRACTICE AND THEORY

An effective spatial-temporal attention based neural network for traffic flow prediction

(2019) Loan N.N. Do et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

An interpretable model for short term traffic flow prediction

(2019) Wei Wang et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial–temporal data features

(2018) Weihong Chen et al.   Future Generation Computer Systems-The International Journal of eScience

Combining weather condition data to predict traffic flow: a GRU-based deep learning approach

(2018) Da Zhang et al.   IET Intelligent Transport Systems

A hybrid deep learning based traffic flow prediction method and its understanding

(2018) Yuankai Wu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

CNN and RNN based payload classification methods for attack detection

(2018) Hongyu Liu et al.   KNOWLEDGE-BASED SYSTEMS

LSTM-based traffic flow prediction with missing data

(2018) Yan Tian et al.   NEUROCOMPUTING

Exploring spatial–temporal relations via deep convolutional neural networks for traffic flow prediction with incomplete data

(2018) Shaojiang Deng et al.   APPLIED SOFT COMPUTING

Traffic flow prediction using LSTM with feature enhancement

(2018) Bailin Yang et al.   NEUROCOMPUTING

Short-term traffic flow prediction in smart multimedia system for Internet of Vehicles based on deep belief network

(2018) Fanhui Kong et al.   Future Generation Computer Systems-The International Journal of eScience

Wavelet neural network with improved genetic algorithm for traffic flow time series prediction

(2016) Hong-jun Yang et al.   OPTIK

Hierarchical fuzzy rule-based system optimized with genetic algorithms for short term traffic congestion prediction

(2014) Xiao Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A fast learning algorithm for evolving neo-fuzzy neuron

(2013) Alisson Marques Silva et al.   APPLIED SOFT COMPUTING

eT2FIS: An Evolving Type-2 Neural Fuzzy Inference System

(2012) S.W. Tung et al.   INFORMATION SCIENCES

Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm

(2011) Wei-Chiang Hong   NEUROCOMPUTING

Forecasting urban traffic flow by SVR with continuous ACO

(2010) Wei-Chiang Hong et al.   APPLIED MATHEMATICAL MODELLING

Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation

(2009) Federico Montesino Pouzols et al.   FUZZY SETS AND SYSTEMS

Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm

(2009) Cheng-Ming Lee et al.   NEUROCOMPUTING

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

(2008) Manoel Castro-Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow

(2008) Loukas Dimitriou et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES