计算机科学 ›› 2017, Vol. 44 ›› Issue (5): 89-94.doi: 10.11896/j.issn.1002-137X.2017.05.016
李诗瑶,周良,刘虎
LI Shi-yao, ZHOU Liang and LIU Hu
摘要: 危险源识别是民用航空管理的重要环节之一,危险源识别结果必须高度准确才能确保飞行的安全。为此,提出了一种基于深度极限学习机的危险源识别算法HIELM(Hazard Identification Algorithm Based on Extreme Lear-ning Machine),设计了一种由多个深层栈式极限学习机(S-ELM)和一个单隐藏层极限学习机(ELM)构成的深层网络结构。算法中,多个深层S-ELM使用平行结构,各自可以拥有不同的隐藏结点个数,按照危险源领域分类接受危险源状态信息完成预学习,并结合识别特征改进网络输入权重的产生方式。在单隐藏层ELM中,深层ELM的预学习结果作为其输入,改进了反向传播算法,提高了网络识别的精确度。同时,分别训练各深层S-ELM,缓解了高维数据训练的内存压力和节点过多产生的过拟合现象。
[1] HUANG G B,WANG D H,LAN Y.Extreme Learning Ma-chines:a Survey[J].International Journal of Machine Learning and Cybernetics,2011,2(2):107-122. [2] SMITH B E,DE-JONG H H,EVERDIJ M H C.A Prognostic Method to Identify Hazards for Future Aviation Concepts[C]∥ICAS Secretariat-26th Congress of International Council of the Aeronautical Sciences.ICAS Secretariat,2008:3950-3965. [3] GROTH K,WANG C D,MOOSLEH A.Hybrid Causal Metho-dology And Software Platform For Probabilistic Risk Assessment And Safety Monitoring Of Socio-Technical Systems[J].Reliability Engineering & System Safety,2010,95(12):1276-1285. [4] CUI L,SHU Y D,WANG Z H,et al.HASILT:An Intelligent Software Platform for HAZOP,LOPA,SRS and SIL Verification[J].Reliability Engineering & System Safety,2012,108:56-64. [5] XU X Z,WANG G Y,DING S F,et al.A New Method For Constructing Granular Neural Networks Based On Rule Extraction And Extreme Learning Machine[J].Pattern Recognition Letters,2015,67:138-144. [6] DARAAMOLA O,STALHANE T,MOSER T,et al.A Conceptual Framework for Semantic Case-based Safety Analysis[C]∥Emerging Technologies & Factory Automation (ETFA).IEEE,2011:1-8. [7] ZHANG Y J,SUN Y C.Safety Risk Assessment of Human-machine Interaction Behavior in Cockpit[C]∥Computational Intelligence and Design (ISCID).IEEE,2014:39-42. [8] ZHOU H M,HUANG G B,LIN Z P,et al.Stacked Extreme Learning Machines[J].IEEE Transactions on Cybernetics,2015,45(9):2013-2025. [9] LIANG N Y,HUANG G B,SARATCHADRAN P,et al.AFast and Accurate Online Sequential Learning Algorithm for Feedforward Networks[J].IEEE Transactions on Neural Networks,2006,17(6):1411-1423. [10] JAVED K,GOURIVEAU R,ZERHOUNI N.A New Multiva-riate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering[J].IEEE Transactions on Cyberne-tics,2015,45(12):2626-2639. [11] ZHANG N,DING S F,SHI Z Z.Denoising Laplacian Multi-La-yer Extreme Learning Machine[J].Neurocomputing,2016,171:1066-1074. [12] MCDONNELL M D,TISSERA M D,VLADUSICH T,et al.Fast,Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the ‘Extreme Learning Machine’ Algorithm[J].Plos One,2015,10(8). [13] DENG W Y,ZHENG Q H,CHEN L,et al.Research On Extreme Learning of Neural Networks[J].Chinese Journal of Computers,2010,33(2):279-287.(in Chinese) 邓万宇,郑庆华,陈琳,等.神经网络急速学习方法研究[J].计算机学报,2010,3(2):279-287. [14] BUENO-CRESPO A,GARCIA-LAENCINA P J,SANCHO-GO-MEZ J L,et al.Neural Architecture Design Based On Extreme Learning Machine[J].Neural Networks,2013,48:19-24. [15] JOLLIFFE I T.Principal Component Analysis[M].New York:Wiley Online Library,2010. [16] MOZAFFARI A,LASHGARIAN A N,FATHI A.Regularized Machine Learning Through Constraint Swarm And Evolutionary Computation Applied To Regression Problems[J].International Journal of Intelligent Computing and Cybernetics,2014,7(4):346-381. [17] ZHU W T,MIAO J,QING L Y.Constrained Extreme Learning Machine:a Novel Highly Discriminative Random Feedforward Neural Network[C]∥Proceedings of The 2014 International Joint Conference On Neural Networks.IEEE,2014:800-807. [18] ZHAO R,MAO K Z.Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space[J].IEEE Computational Intelligence Magazine,2015,10(3):30-41. [19] LI C,RENE-VINICIO S,ZURITA G,et al.Multimodal DeepSupport Vector Classification With Homologous Features And Its Application To Gearbox Fault Diagnosis[J].Neurocompu-ting,2015,8:119-27. [20] LIU B,XIA S X,MENG F R,et al.Manifold regularized extreme learning machine[J].Neural Computing and Applications,2016,27(2):255-269. |
No related articles found! |
|