Results 11 to 20 of about 6,955,768 (244)
Development of Deep Belief Network for Tool Faults Recognition [PDF]
Sensors, 2023 The controlled interaction of work material and cutting tool is responsible for the precise outcome of machining activity. Any deviation in cutting parameters such as speed, feed, and depth of cut causes a disturbance to the machining.
Archana P. Kale +4 more
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Sentiment Analysis on Twitter Using Deep Belief Network Optimized with Particle Swarm Optimization [PDF]
E3S Web of ConferencesDeep Belief Network is a type of artificial neural network that is widely used in machine learning and deep learning tasks that allows it to learn hierarchical representations of the input data.
Dewi Irma Amelia +1 more
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IEEE Access, 2020 The deep belief network is widely used in fault diagnosis and health management of rotating machinery. However, on the one hand, deep belief networks only tend to focus on the global information of bearing vibration, ignoring local information.
Chao Zhang +5 more
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Rock Granularity Analysis by Deep Belief Network [PDF]
MATEC Web of Conferences, 2017 Granularity analysis is one of the most essential issues in authenticate. To improve the identification accuracy, a Deep Belief Network (DBN) based method is proposed in this paper.
Jiancheng Guo, Guo Wenhui
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Dropout Deep Belief Network Based Chinese Ancient Ceramic Non-Destructive Identification [PDF]
Sensors, 2021 A non-destructive identification method was developed here based on dropout deep belief network in multi-spectral data of ancient ceramic. A fractional differential algorithm was proposed to enhance the spectral details by making use of the difference ...
Jizhong Huang, Yepeng Guan
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Sentimen Analisis Tweet Berbahasa Indonesia Dengan Deep Belief Network [PDF]
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2017 Sentiment analysis is a computational research of opinion sentiment and emotion which is expressed in textual mode. Twitter becomes the most popular communication device among internet users. Deep Learning is a new area of machine learning research.
Ira zulfa, Edi Winarko
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Analog Circuit Fault Diagnosis Based on Adaptive Gaussian Deep Belief Network
MATEC Web of Conferences, 2018 Aiming at the problem that the traditional intelligent fault diagnosis method is overly dependent on feature extraction and the lack of generalization ability, deep belief network is proposed for the fault diagnosis of the analog circuit; Then, by ...
Ying-chen WANG, Xiu-sheng DUAN
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Intrusion Detection using Deep Belief Network [PDF]
Mehran University Research Journal of Engineering and Technology, 2014 This paper proposes an intrusion detection technique based on DBN (Deep Belief Network) to classify four intrusion classes and one normal class using KDD-99 dataset.
Kamran Raza , Syed Hasan Adil
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Energy Reports, 2021 The present study presents a new method for optimal identification of the output voltage of a Proton Exchange Membrane Fuel Cell based on an optimized Deep Belief Network.
Libing Hu +2 more
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Research on the Deep Learning Technology in the Hull Form Optimization Problem
Journal of Marine Science and Engineering, 2022 A high−accuracy objective function evaluation method is crucial in ship hull form optimization. This study proposes a novel approximate ship hull form optimization framework using the deep learning technology, deep belief network algorithm. To illustrate
Shenglong Zhang
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