A distributed parallel training method of deep belief networks
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04754-6
Abstract: Nowadays, it has become well known that efficient training of deep neural networks plays a vital role in various successful applications. To achieve this goal, it is impractical to use only one computer, especially when… read more here.
Keywords: parallel training; belief networks; deep belief; distributed parallel ... See more keywords
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
Unsupervised emotion recognition algorithm based on improved deep belief model in combination with probabilistic linear discriminant analysis
Sign Up to like & getrecommendations! Published in 2019 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-019-01235-y
Abstract: Since the initial weight matrix between the last hidden layer of the network and the classification layer is usually generated randomly, the weight matrix does not have the discrimination ability to accurately classify the facial… read more here.
Keywords: deep belief; network; linear discriminant; discriminant analysis ... See more keywords
Modeling and predicting remanufacturing time of equipment using deep belief networks
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1430-2
Abstract: Predicting optimal remanufacturing time is a key point for improving the quality performance and economic effectiveness of multi-life cycle of remanufactured equipment, and knowing the manufacturing cost is a critical point for accurate prediction of… read more here.
Keywords: deep belief; equipment; time; remanufacturing time ... 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
Deep belief ensemble network based on MOEA/D for short-term load forecasting
Sign Up to like & getrecommendations! Published in 2021 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-021-06742-3
Abstract: While the demand for quality power supply is increasing, the traditional power grid cannot meet with the users’ demand. Smart grid has become a new solution to quality power supply for its improved information sharing… read more here.
Keywords: network based; load forecasting; network; deep belief ... 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
An optimized deep belief network to detect anomalous behavior in social media
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-02708-2
Abstract: The rapid development of online social networks such as Reddit, Twitter, Facebook, and so on are widely expanded. The anomaly detection plays an important role in social networks due to different kinds of malicious activities… read more here.
Keywords: deep belief; social networks; optimized deep; ias algorithm ... See more keywords