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Deep neural network in QSAR studies using deep belief network
Applied Soft Computing Journal, 2018 There are two major challenges in the current high throughput screening drug design: the large number of descriptors which may also have autocorrelations and, proper parameter initialization in model prediction to avoid over-fitting problem.
Horacio Pérez-Sánchez +2 more
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A sparse deep belief network with efficient fuzzy learning framework
Neural Networks, 2020Caixia Liu, Junfei Qiao, Jing Bi
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Deep Belief Network based audio classification for construction sites monitoring
Expert Systems With Applications, 2021Yong-Cheol Lee +2 more
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Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis
Knowledge-Based Systems, 2020Jianbo Yu
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Rolling bearing fault detection using continuous deep belief network with locally linear embedding
Computers in Industry, 2018Hongkai Jiang, Haidong Shao, Xingqiu Li
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Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network
IEEE Transactions on Industrial Electronics, 2018Hongkai Jiang, Haidong Shao
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Deep belief network based deterministic and probabilistic wind speed forecasting approach
Applied Energy, 2016H Z Wang, Y T Liu, G Q Li
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Human emotion recognition using deep belief network architecture
Information Fusion, 2019Mohammad Mehedi Hassan +1 more
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