Mine Vegetation Identification via Ecological Monitoring and Deep Belief Network. [PDF]
Plants (Basel), 2021 Gong B, Shu C, Han S, Cheng SG.
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Top-Down Regularization of Deep Belief Networks.
, 2013 Designing a principled and effective algorithm for learning deep architectures is a challenging problem. The current approach involves two training phases: a fully unsupervised learning followed by a strongly discriminative optimization. We suggest a deep learning strategy that bridges the gap between the two phases, resulting in a three-phase learning
Goh, Hanlin +3 more
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Dropout Deep Belief Network Based Chinese Ancient Ceramic Non-Destructive Identification. [PDF]
Sensors (Basel), 2021 Huang J, Guan Y.
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Optimasi Deep Belief Network Menggunakan Simulated Annealing
, 2018 Dalam beberapa tahun terakhir, deep learning (DL) merupakan area penelitian yang sangat penting dalam pemelajaran mesin. Metode ini dapat mempelajari beragam tingkat abstraksi dan representasi pada berbagai macam data seperti teks, suara dan citra ...
Soegijanto; STMIK Jakarta STI&K +2 more
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Survival Prediction Model for Patients with Esophageal Squamous Cell Carcinoma Based on the Parameter-Optimized Deep Belief Network Using the Improved Archimedes Optimization Algorithm. [PDF]
Comput Math Methods Med, 2022 Wang Y +5 more
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MapReduce-based big data classification model using feature subset selection and hyperparameter tuned deep belief network. [PDF]
Sci Rep, 2021 Rajendran S +3 more
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Application of Distributed Probability Model in Sports Based on Deep Learning: Deep Belief Network (DL-DBN) Algorithm for Human Behaviour Analysis. [PDF]
Comput Intell Neurosci, 2022 Liu T, Zheng Q, Tian L.
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, 2018 Thesis (M.Sc.(Applied Mathematics))--Prince of Songkla University, 2018In this study, we examine the ability of deep learning in making prediction from time series data.
Sureeluk, Ma
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HCA-DBN: a hill climbing optimized Deep Belief Network for crop yield classification based on kernel weight threshold. [PDF]
Front Artif IntellSandhya P, Venkataramana B.
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