A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network

A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network

(2022) Pan Shang et al.   DIGITAL SIGNAL PROCESSING

Traffic speed forecasting for urban roads: A deep ensemble neural network model

(2022) Wenqi Lu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting

(2022) Jianzhou Wang et al.   ENERGY

Regularly updated deterministic policy gradient algorithm

(2021) Shuai Han et al.   KNOWLEDGE-BASED SYSTEMS

Multi-Step Traffic Speed Prediction Based on Ensemble Learning on an Urban Road Network

(2021) Bin Feng et al.   Applied Sciences-Basel

Short-term prediction of outbound truck traffic from the exchange of information in logistics hubs: A case study for the port of Rotterdam

(2021) Ali Nadi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection

(2021) Lifang Zhang et al.   APPLIED ENERGY

A new multi-data-driven spatiotemporal PM2.5 forecasting model based on an ensemble graph reinforcement learning convolutional network

(2021) Xinwei Liu et al.   Atmospheric Pollution Research

Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle

(2020) Renzong Lian et al.   ENERGY

A review of deep learning with special emphasis on architectures, applications and recent trends

(2020) Saptarshi Sengupta et al.   KNOWLEDGE-BASED SYSTEMS

Traffic Volume Prediction Based on Multi-Sources GPS Trajectory Data by Temporal Convolutional Network

(2020) Li Kuang et al.   MOBILE NETWORKS & APPLICATIONS

EEG-based emotion recognition using simple recurrent units network and ensemble learning

(2020) Chen Wei et al.   Biomedical Signal Processing and Control

Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)

(2020) Byeonghyeop Yu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A novel dynamic ensemble air quality index forecasting system

(2020) Hongmin Li et al.   Atmospheric Pollution Research

A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting

(2020) Pei Du et al.   APPLIED SOFT COMPUTING

Efficient online learning with improved LSTM neural networks

(2020) Ali H. Mirza et al.   DIGITAL SIGNAL PROCESSING

A real-time power quality events recognition using variational mode decomposition and online-sequential extreme learning machine

(2020) Mrutyunjaya Sahani et al.   MEASUREMENT

Short-term traffic speed forecasting based on graph attention temporal convolutional networks

(2020) Ge Guo et al.   NEUROCOMPUTING

Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning

(2020) Yan Du et al.   APPLIED ENERGY

Multi-objective optimization of energy use and environmental emissions for walnut production using imperialist competitive algorithm

(2020) Majid Khanali et al.   APPLIED ENERGY

Temporal convolutional networks interval prediction model for wind speed forecasting

(2020) Zhenhao Gan et al.   ELECTRIC POWER SYSTEMS RESEARCH

Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control

(2020) Yan Du et al.   ELECTRIC POWER SYSTEMS RESEARCH

Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming

(2020) Jianping Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Traffic flow prediction by an ensemble framework with data denoising and deep learning model

(2020) Xinqiang Chen et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Maneuvering target tracking of UAV based on MN-DDPG and transfer learning

(2020) Bo Li et al.   Defence Technology

An innovative hybrid system for wind speed forecasting based on fuzzy preprocessing scheme and multi-objective optimization

(2019) Chen Li et al.   ENERGY

Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm

(2019) Linchao Li et al.   KNOWLEDGE-BASED SYSTEMS

Urban traffic signal control with connected and automated vehicles: A survey

(2019) Qiangqiang Guo et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Short-Term Traffic Forecasting Model Based on Echo State Network Optimized by Improved Fruit Fly Optimization Algorithm

(2019) Qingyong Zhang et al.   NEUROCOMPUTING

Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning

(2019) Xiongtao Shi et al.   NEUROCOMPUTING

A novel CNN-DDPG based AI-trader: Performance and roles in business operations

(2019) Suyuan Luo et al.   TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

Ensemble data mining modeling in corrosion of concrete sewer: A comparative study of network-based (MLPNN & RBFNN) and tree-based (RF, CHAID, & CART) models

(2019) Mohammad Zounemat-Kermani et al.   ADVANCED ENGINEERING INFORMATICS

Speech enhancement based on simple recurrent unit network

(2019) Xingyue Cui et al.   APPLIED ACOUSTICS

Application of deep reinforcement learning to intrusion detection for supervised problems

(2019) Manuel Lopez-Martin et al.   EXPERT SYSTEMS WITH APPLICATIONS

IoT type-of-traffic forecasting method based on gradient boosting neural networks

(2019) Manuel Lopez-Martin et al.   Future Generation Computer Systems-The International Journal of eScience

A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting

(2018) Mingfei Niu et al.   APPLIED MATHEMATICAL MODELLING

New efficient hybrid candlestick technical analysis model for stock market timing on the basis of the Support Vector Machine and Heuristic Algorithms of Imperialist Competition and Genetic

(2018) Elham Ahmadi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks

(2018) E. Emary et al.   IEEE Transactions on Neural Networks and Learning Systems

Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction

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

Exploring hybrid spatio-temporal convolutional networks for human action recognition

(2017) Hao Wang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things

(2017) Manuel Lopez-Martin et al.   IEEE Access

Monte Carlo simulation-based traffic speed forecasting using historical big data

(2016) Seungwoo Jeon et al.   Future Generation Computer Systems-The International Journal of eScience

Variable speed wind turbine controller adaptation by reinforcement learning

(2016) Borja Fernandez-Gauna et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Multi objective particle swarm optimization algorithm for the design of efficient ATO speed profiles in metro lines

(2014) María Domínguez et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange

(2014) Martha Pulido et al.   INFORMATION SCIENCES

Traffic volume forecasting based on radial basis function neural network with the consideration of traffic flows at the adjacent intersections

(2014) Jia Zheng Zhu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

MOICA: A novel multi-objective approach based on imperialist competitive algorithm

(2013) Rasul Enayatifar et al.   APPLIED MATHEMATICS AND COMPUTATION

Short-Term Traffic Speed Forecasting Based on Data Recorded at Irregular Intervals

(2012) Qing Ye et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS