PREDIKSI SAHAM MENGGUNAKAN DBN ( DEEP BELIEF NETWORK ) [PDF]
, 2017 Dalam penelitian ini akan dibahas prediksi indeks harga saham dengan metode Deep Belief Network (DBN). Penelitian ini menggunakan indeks saham dari pasar saham Indonesia yaitu Indeks Harga Saham Gabungan (IHSG).
GIALI GHAZALI
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Predicción de radiación solar mediante deep belief network [PDF]
, 2016 The continued development of computational tools offers the possibility to execute processes with the ability to carry out activities more efficiently, exactness and precision.
Ruiz Cárdenas, Luis Carlos +2 more
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Reciprocating compressor fault diagnosis using an optimized convolutional deep belief network
, 2021 © The Author(s) 2020. This article proposes an optimized convolutional deep belief network for fault diagnosis of reciprocating compressors.
Ma, B, Ji, J, Zhang, Y
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A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma
FEBS Letters, EarlyView.Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos +9 more
wiley +1 more source
Sequence-discriminative training of deep neural networks [PDF]
, 2013 Sequence-discriminative training of deep neural networks (DNNs) is investigated on a 300 hour American English conversational telephone speech task. Different sequence-discriminative criteria ndash;- maximum mutual information (MMI), minimum phone error (
Ghoshal, Arnab +3 more
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Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research
FEBS Letters, EarlyView.What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley +1 more source
Deep belief networks and cortical algorithms: A comparative study for supervised classification
Applied Computing and Informatics, 2019 The failure of shallow neural network architectures in replicating human intelligence led the machine learning community to focus on deep learning, to computationally match human intelligence.
Yara Rizk +3 more
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
A Deep Belief Network Based Approach for Bearing Fault Diagnosis [PDF]
, 2016 Effective fault diagnosis techniques are crucial for normal and safe machinery operation. The development of data acquisition techniques allows for massive volumes of data to be collected and used for fault diagnostics and prognostics. The main challenge
Khaled Mohammad A Akkad (7959398)
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Health assessment method of industrial robot reducer based on deep belief network
, 2021 Industrial robots are the most representative equipment in smart manufacturing system. Reducers, which are one of the key components of industrial robots, account for a significant portion of failures in industrial robots.
Yuan DC(袁德成) +2 more
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