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18 results on '"Cai, Huafeng"'

13. Improved Convolutional Neural Network Fault Diagnosis Method Based on Dropout

Author

Xie Jianlin, Cai Huafeng, and Chen Tingting

Subjects
Artificial neural network, Computer science, business.industry, Generalization, Deep learning, Overfitting, computer.software_genre, Fault (power engineering), Convolutional neural network, Data mining, Artificial intelligence, business, computer, Dropout (neural networks), Network model
Abstract

Aiming at the over-fitting problem of traditional deep learning method in bearing fault diagnosis model, this paper proposes an improved convolutional neural network fault diagnosis method. This method introduces the Dropout optimization method at the fully connected layer of the neural network model, and temporarily discards some neurons from the neural network, thereby reducing network parameters and achieving data dimensionality reduction. By comparing and analyzing the method described in the paper with the traditional CNN network, the results show that the method described in the paper can effectively alleviate the overfitting phenomenon of the traditional CNN network model in bearing fault diagnosis. The model has a strong generalization ability and diagnosis. The result has a higher accuracy.

Published
2020

18. Clinical observation of serum IL-18, IL-10 and sIL-2R levels in patients with chronic hepatitis C pre- and post antiviral treatment.

Author

Jia H, Du J, Zhu S, Ma Y, and Cai H

Subjects
Adolescent, Adult, Female, Hepatitis C, Chronic blood, Humans, Interferon alpha-2, Male, Middle Aged, Recombinant Proteins, Antiviral Agents therapeutic use, Hepatitis C, Chronic drug therapy, Interferon-alpha therapeutic use, Interleukin-10 blood, Interleukin-18 blood, Receptors, Interleukin-2 blood
Abstract

Objective: To discuss the roles of serum interleukin-18 (IL-18), interleukin-10 (IL-10) and soluble interleukin-2R (sIL-2R) in the pathogenesis of chronic hepatitis C and to observe the effects of interferon (IFN) on the above- mentioned serum cytokines., Methods: The levels of above- mentioned cytokines were detected in 10 healthy individuals, 24 asymptomatic hepatitis virus C (HCV) carriers and 27 patients with chronic hepatitis C (before and after IFN treatment) using enzyme linked immunosorbent assay (ELISA)., Results: The levels of the cytokines in patients with chronic hepatitis C are higher than in healthy people (P < 0.05) and in asymptomatic HCV carriers (P < 0.05). The values of the cytokines show a significant positive correlation to ALT (P < 0.05). Levels of tested cytokines decreased observably after IFN treatment (P < 0.05). The grades of the serum levels for sIL-2R and IL-10 before IFN treatment (from high to low) were categorized accordingly: non-response group > partial- response group > complete- response group (P < 0.05)., Conclusions: The tested cytokines co-participate in the pathogenesis of chronic hepatitis C, and can be used to evaluate the effect of IFN on the immune state of organisms. Furthermore, sIL-2R and IL-10 are important for predicting the anti-viral efficacy of IFN.

Published
2003

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