Noise modeling of offshore platform using progressive normalized distance from worst-case error for optimal neuron numbers in deep belief network
Sign Up to like & getrecommendations! Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-020-05163-5
Abstract: Noise prediction is important for crew comfort in an offshore platform such as oil drilling rig. A deep neural network learning on the oil drilling rig is not widely studied. In this paper, a deep… read more here.
Keywords: network; deep belief; error; offshore platform ... See more keywords
Research on exchange rate forecasting based on deep belief network
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3039-z
Abstract: Exchange rate forecasting has always been a research hot spot of international finance studies. Deep belief network (DBN) model of deep learning is a new method of predicting the exchange rate data, and the designing… read more here.
Keywords: rate forecasting; deep belief; exchange; belief network ... See more keywords
Deep belief network based approach to recognize handwritten Kannada characters using distributed average of gradients
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2274-0
Abstract: Even though various advances have been made in recent years, the recognition of handwritten characters is still an open challenge in the Pattern Recognition field. Different approaches are invented for the recognition of printed characters… read more here.
Keywords: average gradients; distributed average; deep belief; recognition ... See more keywords
Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-021-1283-2
Abstract: The problem of disguised voice recognition based on deep belief networks is studied. A hybrid feature extraction algorithm based on formants, Gammatone frequency cepstrum coefficients (GFCC) and their different coefficients is proposed to extract more… read more here.
Keywords: deep belief; voice; recognition; belief network ... See more keywords
Nonlinear inversion for magnetotelluric sounding based on deep belief network
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Central South University"
DOI: 10.1007/s11771-019-4188-2
Abstract: To improve magnetotelluric (MT) nonlinear inversion accuracy and stabilitythis work introduces the deep belief network (DBN) algorithm. Firstlya network frame is set up for training in different 2D MT models. The network inputs are the… read more here.
Keywords: network; inversion; deep belief; nonlinear inversion ... See more keywords
A fault diagnosis method using Interval coded deep belief network
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-020-0416-9
Abstract: The rolling bearing, though a widely used component in rotating machinery, is also failure-prone. There are some difficulties in extracting valuable fault features from the vibration signal generated by the rolling bearing operation. Based on… read more here.
Keywords: fault; belief network; method; deep belief ... See more keywords
Early and robust remaining useful life prediction of supercapacitors using BOHB optimized Deep Belief Network
Sign Up to like & getrecommendations! Published in 2021 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.116541
Abstract: Abstract The lifespan, power density, and transient response make supercapacitors a component of choice for the electric vehicle and renewable energy industry. Supercapacitors’ long lifecycle often makes it difficult for designers to assess the system’s… read more here.
Keywords: useful life; belief network; deep belief; prediction ... See more keywords
Energy consumption prediction in cement calcination process: A method of deep belief network with sliding window
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DOI: 10.1016/j.energy.2020.118256
Abstract: Abstract Electricity consumption and coal consumption are two important indicators in the cement calcination process. Modeling predictions of cement energy consumption support efforts aimed at understanding energy use and energy conservation. However, due to the… read more here.
Keywords: energy consumption; deep belief; energy; consumption prediction ... See more keywords
Prediction of mortality at one year after surgery for pertrochanteric fracture in the elderly via a Bayesian belief network.
Sign Up to like & getrecommendations! Published in 2019 at "Injury"
DOI: 10.1016/j.injury.2019.11.029
Abstract: BACKGROUND Pertrochanteric fractures in the elderly are common and associated with considerable mortality and disability. However, the predictors of the fracture mortality have been somewhat controversial. The aim of this study was to use univariate,… read more here.
Keywords: pertrochanteric fracture; one year; bayesian belief; mortality ... See more keywords
Active features extracted by deep belief network for process monitoring.
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DOI: 10.1016/j.isatra.2018.10.011
Abstract: Recently, based on the powerful capability of feature extraction, deep learning technique has been applied to the field of process monitoring, and usually, the researches utilize all the abstract features to establish the detection model… read more here.
Keywords: network process; deep belief; process; process monitoring ... See more keywords
Life cycle assessment multi-objective optimization and deep belief network model for sustainable lightweight aggregate concrete
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2021.128554
Abstract: Abstract There has been rapidly growing demand for manufacturing structural lightweight concrete (LWC) owing to its reduced gravity and seismic loads. Concrete is required to meet increasingly more stringent eco-efficiency and sustainability requirements. Therefore, an… read more here.
Keywords: cycle assessment; belief network; life; life cycle ... See more keywords