Parallel computing method of deep belief networks and its application to traffic flow prediction
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Yonghua Zhou | Lu Zhao | Hamido Fujita | Huapu Lu | H. Fujita | Huapu Lu | Yonghua Zhou | Lu Zhao
[1] Bo Wang,et al. When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification , 2016, Knowl. Based Syst..
[2] U. Rajendra Acharya,et al. Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network , 2017, Knowl. Based Syst..
[3] Jana-Rebecca Rehse,et al. Predicting process behaviour using deep learning , 2016, Decis. Support Syst..
[4] Guoqiang Han,et al. δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting , 2017, Neurocomputing.
[5] Lior Wolf,et al. Channel-Level Acceleration of Deep Face Representations , 2015, IEEE Access.
[6] Pingyu Jiang,et al. A deep learning approach for relationship extraction from interaction context in social manufacturing paradigm , 2016, Knowl. Based Syst..
[7] Yan Tian,et al. LSTM-based traffic flow prediction with missing data , 2018, Neurocomputing.
[8] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[9] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[10] Young-Jin Kim,et al. An architecture for emergency event prediction using LSTM recurrent neural networks , 2018, Expert Syst. Appl..
[11] Giancarlo Fortino,et al. Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network , 2017, IEEE Access.
[12] Feifeng Zheng,et al. Forecasting urban traffic flow by SVR with continuous ACO , 2011 .
[13] Gregory Francis,et al. Using a model of human visual perception to improve deep learning , 2018, Neural Networks.
[14] Tao Li,et al. Deep belief echo-state network and its application to time series prediction , 2017, Knowl. Based Syst..
[15] Wenhao Huang,et al. Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning , 2014, IEEE Transactions on Intelligent Transportation Systems.
[16] Ivor W. Tsang,et al. Learning word dependencies in text by means of a deep recurrent belief network , 2016, Knowl. Based Syst..
[17] Xiaohong Chen,et al. Short Term Prediction of Freeway Exiting Volume Based on SVM and KNN , 2015 .
[18] Pravin Varaiya,et al. Guaranteed prediction and estimation of the state of a road network , 2012 .
[19] Wanqing Li,et al. Forecasting short-term traffic speed based on multiple attributes of adjacent roads , 2019, Knowl. Based Syst..
[20] Shan Wu,et al. A neural generative autoencoder for bilingual word embeddings , 2018, Inf. Sci..
[21] B. G. Cetiner,et al. A NEURAL NETWORK BASED TRAFFIC-FLOW PREDICTION MODEL , 2010 .
[22] Jia Liu,et al. Maxout neurons for deep convolutional and LSTM neural networks in speech recognition , 2016, Speech Commun..
[23] Shu Zhan,et al. Robust face detection using local CNN and SVM based on kernel combination , 2016, Neurocomputing.
[24] Nicholas G. Polson,et al. Deep learning for short-term traffic flow prediction , 2016, 1604.04527.
[25] Junyu Dong,et al. Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases , 2018, Knowl. Based Syst..
[26] Bin Ran,et al. A hybrid deep learning based traffic flow prediction method and its understanding , 2018 .
[27] Abhigyan Nath,et al. Enhanced prediction of recombination hotspots using input features extracted by class specific autoencoders. , 2018, Journal of theoretical biology.
[28] Da Liu,et al. Emotional image color transfer via deep learning , 2018, Pattern Recognit. Lett..