Electronics Optics & Control, Volume. 25, Issue 1, 65(2018)

Flaw Identification in Ultrasonic Testing Based on BP Neural Network and Evidence Theory

WANG Li... ZHOU Zhi-jie and ZHAO Fu-jun |Show fewer author(s)
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    References(4)

    [2] [2] OUKHELLOU L,DEBIOLLES A,DENOEUX T,et al.Fault diagnosis in railway track circuits using Demster-Shafer classifier fusion[J].Engineering Applications of Artificial Intelligence,2010,23(1):117-128.

    [3] [3] SI X S,HU C H,YANG J B,et al.On the dynamic evidential reasoning algorithm for fault prediction[J].Expert System with Applications,2011,38:5061-5081.

    [4] [4] XU X B,LIU P,SUN Y B.Fault diagnosis based on the updating strategy of interval-valued belief structures[J].Chinese Journal of Electronics,2014,23(4):753-760.

    [11] [11] YANG J B,XU D L.Evidence reasoning rule for evidence combination[J].Artificial Intelligence,2013,205: 1-29.

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    WANG Li, ZHOU Zhi-jie, ZHAO Fu-jun. Flaw Identification in Ultrasonic Testing Based on BP Neural Network and Evidence Theory[J]. Electronics Optics & Control, 2018, 25(1): 65

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    Paper Information

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    Received: Mar. 3, 2017

    Accepted: --

    Published Online: Jan. 30, 2018

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2018.01.014

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