Results 21 to 30 of about 6,955,768 (244)
Fault Diagnosis Method for Aerial Sensor Based on Deep Learning [PDF]
Jisuanji gongcheng, 2017 To solve the problem of over-fitting and limited generalization ability during sensor fault diagnosis by traditional neural network,a fault diagnosis method for aerial sensor based on deep belief network observer is proposed.Shallow layer neural network ...
ZHENG Xiaofei,GUO Chuang,YAO Bin,FENG Huaxin
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A deep-belief network approach for course scheduling [PDF]
Journal of Applied Research on Industrial Engineering, 2020 The scheduling of academic courses is a problem in which a weekly schedule is produced for educational purposes. Many different types of scheduling problems exist at various universities in accordance with their laws, needs, and constraints.
Hassan Rashidi, Maryam Hassanpour
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Deep Belief Network Approach for Recognition of Cow using Cow Nose Image Pattern
Walailak Journal of Science and Technology, 2021 A deep belief network is proposed to learn the discriminatory cow nose image texture features for a robust representation of cows' features and recognition using a cow nose image pattern.
Rotimi-Williams BELLO +2 more
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Application of deep learning in recognition of accrued earnings management
Heliyon, 2023 We choose the sample data in Chinese capital market to compare the measurement effect of earnings management with Deep Belief Network, Deep Convolution Generative Adversarial Network, Generalized Regression Neural Network and modified Jones model by ...
Jia Li, Zhoutianyang Sun
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IEEE Access, 2023 The power system frequency is an important indicator that reflects the power system’s operating status. Through real-time detection or prediction, it can effectively ensure stable power system operation.
Wenzhuo Wang +8 more
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Offline Handwritten Chinese Character Recognition Based on DBN and CNN Fusion Model
Journal of Harbin University of Science and Technology, 2020 Aiming at the problem that some offline handwritten Chinese characters are similar in shape and it is difficult to extract the feature of characters and the recognition is not accurate, a convolutional neural network and deep belief network fusion model ...
LI Lanying, ZHOU Zhigang, CHEN Deyun
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Midsized-Rivers/Piebald-Madtom-Bayesian-belief-network: V1.2 Piebald Madtom Bayesian belief network
, 2023 <p>Repository contains supporting files for manuscript, Dunn et al. 2023. (in press at Ecosphere), "Using resiliency, redundancy, and representation in a Bayesian belief network to assess imperilment of riverine fishes." This manuscript presents a ...
Midsized-Rivers
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Intelligent Processing of Intrusion Detection Data
IEEE Access, 2020 Intrusion detection technology, as an active and effective dynamic network defense technology, has rapidly become a hot research topic in the field of network security since it was proposed.
Tao Duan +6 more
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Research on the hull form optimization using the surrogate models
Engineering Applications of Computational Fluid Mechanics, 2021 The ship hull form optimization using the Computational Fluid Dynamics (CFD) method is increasingly employed in the early design of a ship, as an optimal ship hull form can obtain good hydrodynamics.
Shenglong Zhang +3 more
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Deep Learning and Music Adversaries [PDF]
, 2015 OA Monitor ExerciseOA Monitor ExerciseAn {\em adversary} is essentially an algorithm intent on making a classification system perform in some particular way given an input, e.g., increase the probability of a false negative.
STURM, BLT +5 more
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