Jing Xu

China Three Gorges University

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Haiquan Zhang

Yanshan University

Wenlong Hou

Hebei Normal University of Science and Technology

Lele Zhao

Anhui Medical University

Yutian Wang

University of Electronic Science and Technology of China

Bao Lin

Shandong Agricultural University

Xueqiang Liu

Shenyang Agricultural University

Lan Yu

Kunming University of Science and Technology

Enfang He

Harbin Institute of Technology

Han Yang

Hubei University of Arts and Science

Jun Zhang

Hangzhou Dianzi University

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European Organization for Nuclear Research

451

University of Chinese Academy of Sciences

255

Centre National de la Recherche Scientifique

240

Centro Brasileiro de Pesquisas Físicas

236

Tsinghua University

230

École Polytechnique Fédérale de Lausanne

197

Peking University

182

Universitat de Barcelona

162

State Key Laboratory of Nuclear Physics and Technology

160

Institut National de Physique Nucléaire et de Physique des Particules

160

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Study of online learning resource recommendation based on improved BP neural network

International Journal of Embedded Systems (2020)

Yonghui Dai Jing Xu

Personalised recommendation has gradually become an effective way to solve the problem of information overload in the era of big data. Therefore, in order to improve the efficiency of online learning, this paper discusses the design of online learning resource recommendation algorithm based on improved BP neural network, and the results show that it has high value for popularisation and application. Based on the transmission network, the improved BP neural network of momentum factor can achieve more efficient data mining. After training learning resources and user data, it can match the real score and the predicted score, so as to ensure the accuracy of personalised recommendation. The main contribution of this paper is to propose a recommendation algorithm to online learning resources through improved BP neural network algorithm, and the feasibility of the algorithm is verified. The research method of this paper provides a reference for the research of personalised recommendation algorithm of online resources.

10.1504/ijes.2021.10033622

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Citations (1)

Constructing High Efficient Carrier Channels in Double Ternary Compounds Mosse/Cdsse Heterojunction for Photoelectrochemistry and Electrocatalytic Hydrogen Production

Yujia Zhang Han Yang Jun Zhang Bao Lin Jing Xu

Photoelectrochemistry

10.2139/ssrn.4866966

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Citations (0)

Adjustable Double Cation Vacancies Mnse/Fese2 P-N Heterojunction Catalysts on Improving Multifunctional Photocatalytic and Photoelectrochemical Performance

Guoyu Lu Han Yang Jun Zhang Bao Lin Jing Xu

Visible spectrum

10.2139/ssrn.4875132

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Citations (0)

Influence of the morphology of the copper(II) phthalocyanine thin film on the performance of organic field-effect transistors

Solid-State Electronics (2016)

Jing Xu Xueqiang Liu Hailong Wang Wenlong Hou Lele Zhao

Active layer

Saturation (graph theory)

10.1016/j.sse.2016.11.003

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Citations (8)

Effect of solvent–vapour annealing on morphology, structure of copper(II) phthalocyanine thin films and device performance

Bulletin of Materials Science (2018)

Jing Xu Xueqiang Liu Wenlong Hou Huiyun Guo Lan Yu

Organic field-effect transistor

Morphology

10.1007/s12034-018-1618-y

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Citations (10)

Enhanced hydrogen storage performances of LiBH4 modified with three-dimensional porous fluorinated graphene

International Journal of Hydrogen Energy (2017)

Wei Zhang Guang Xu Lingjuan Chen Shuyi Pan Jing Xu

10.1016/j.ijhydene.2017.05.018

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Citations (23)

Research on Association Rules Reasoning and Application of Geosciences Data Based on Ameliorated Trapezoidal Cloud Transformation

IFIP advances in information and communication technology (2016)

Jing Xu

Completeness (order theory)

10.1007/978-3-319-42102-5_14

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Citations (0)

A novel pretreatment method of three-dimensional fluorescence data for quantitative measurement of component contents in mixture

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2015)

Jing Xu Yutian Wang Xiaofei Liu

Intensity

10.1016/j.saa.2014.12.112

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Citations (5)

A study of the impact of smoothing on parallel factor model of fluorescence emission excitation matrix

Jing Xu Wang Yu-tian Lijuan Zhang Zhao Xu Xijun Wu

Fluorescence technique serves as a soft sensor with the ability to estimate the shape of emission and excitation spectrum and the information of concentrations of each fluorophore in multi-component fluorescent substances. Noise exist in each measurement inevitably. The impact of smoothing on parallel factor model of fluorescence emission excitation matrix is studied by compare nine methods. Smoothing can obtain more smooth resolved spectra, while the advantage of predication concentrations is not so obviously with the methods and processes used in this paper. Other more smoothing methods need to attempt to discover the obvious advantage of predication concentrations.

Smoothing

Matrix (chemical analysis)

10.1109/icsenst.2016.7796274

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Direct reduction of metal ions based on perylene diimide derivative radical anion as an electron-transfer mediator and potential application in detection of oxidizing metal ions

Sensors and Actuators B Chemical (2017)

Lan Yu Yingying Zhang Hongliang Liu Jing Xu Wenlong Hou

Diimide

Oxidizing agent

Derivative (finance)

10.1016/j.snb.2017.07.087

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Citations (7)