吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1541-1549.doi: 10.13229/j.cnki.jdxbgxb201505024
Previous Articles Next Articles
WANG Xiao-yu1, 2, OUYANG Dan-tong1, 2, CHI Jin-jin1, 2, HAN Zheng-fu3
CLC Number:
[1] Walter Hamscher, Luca Console, Johan de Kleer eds. Readings in model-based diagnosis[C]∥San Mateo, CA, USA: Morgan Kaufmann Publishers,1992. [2] Luca Console, Oskar Dressler. Model-based diagnosis in the real world: lessons learned and challenges remaining[C]∥L C Aiello eds. Proceeding of 16th International Joint Conference of Artificial Intellitgence, Stockholm, Sweden: Morgan-Kaufmann Publishers, 1999:1393-1400. [3] Peter Struss. Knowledge-based diagnosis: an important challenge and touchstone for AI[C]∥B Neumann eds. Proceeding of 10th European Conference on Artificial Intelligence, Chichester, UK: John Wiley and Sons, 1992:863-874. [4] Raymond Reiter. A theory of diagnosis from first principles[J]. Artificial Intelligence, 1987,32(1):57-95. [5] Pietro Baroni, Gianfranco Lamperti, Paolo Pogliano, et al. Diagnosis of large active systems[J].Artificial Intelligence, 1999, 110(1): 135-183. [6] Meera Sampath, Raja Sengupta, Stephane Lafortune, et al. Diagnosability of discrete-event systems[J]. IEEE Transactions on Automatic Control, 1995, 40(9): 1555-1575. [7] Meera Sampath, Raja Sengupta, Stephane Lafortune, et al. Failure diagnosis using discrete-event models[J]. IEEE Transactions on Control Systems Technology, 1996, 4(2):105-124. [8] Jiang Sheng-bing, Huang Zhong-dong, Chandra V, et al. A polynomial algorithm for testing diagnosability of discrete-event systems[J]. IEEE Transactions on Automatic Control , 2001, 46(8): 1318-1321. [9] Yannick Pencolé, Marie Odile Cordier. A formal framework for the decentralised diagnosis of large scale discrete event systems and its application to telecommunication networks[J]. Artificial Intelligence, 2005, 164 (1): 121-170. [10] Roni Stern, Meir Kalech, Niv Gafni, et al.Using model-based diagnosis to improve software testing[C]∥University of Birmingham. 23rd International Workshop on Principles of Diagnosis(DX-2012), Great Malvern, UK: Neal Snooke, 2012:99-106. [11] Gregory Provan. Distributed diagnosability properties of discrete event systems[C]∥Ratna Bhushan Gopaluni eds. American Control Conference. Anchorage, USA: IEEE, 2002:134-139. [12] Yannick Pencolé, Marie Odile Cordier.A formal framework for the decentralized diagnosis of large scale discrete event systems and its application to telecommunication networks[J]. Artificial Intelligence, 2005, 164 (1): 121-170. [13] Thorsley David, Demosthenis Teneketzis. Diagnosability of stochastic discrete-event systems[J]. IEEE Transactions on Automatic Control, 2005, 50(4):476-492. [14] Liu Fu-chun, David Thorsley, Demosthenis Teneketzis. Diagnosability of fuzzy discrete event systems[J]. Information Science,2008, 178(3): 858-870. [15] Zhao Xiang-fu, Ouyang Dan-tong, Zhang Li-ming, et al. Reasoning on partially-ordered observations in online diagnosis of dess[J]. AI Communications, 2012, 25(4): 285-294. |
[1] | DONG Sa, LIU Da-you, OUYANG Ruo-chuan, ZHU Yun-gang, LI Li-na. Logistic regression classification in networked data with heterophily based on second-order Markov assumption [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1571-1577. |
[2] | GU Hai-jun, TIAN Ya-qian, CUI Ying. Intelligent interactive agent for home service [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1578-1585. |
[3] | WANG Xu, OUYANG Ji-hong, CHEN Gui-fen. Measurement of graph similarity based on vertical dimension sequence dynamic time warping method [J]. 吉林大学学报(工学版), 2018, 48(4): 1199-1205. |
[4] | ZHANG Hao, ZHAN Meng-ping, GUO Liu-xiang, LI Zhi, LIU Yuan-ning, ZHANG Chun-he, CHANG Hao-wu, WANG Zhi-qiang. Human exogenous plant miRNA cross-kingdom regulatory modeling based on high-throughout data [J]. 吉林大学学报(工学版), 2018, 48(4): 1206-1213. |
[5] | HUANG Lan, JI Lin-ying, YAO Gang, ZHAI Rui-feng, BAI Tian. Construction of disease-symptom semantic net for misdiagnosis prompt [J]. 吉林大学学报(工学版), 2018, 48(3): 859-865. |
[6] | LI Xiong-fei, FENG Ting-ting, LUO Shi, ZHANG Xiao-li. Automatic music composition algorithm based on recurrent neural network [J]. 吉林大学学报(工学版), 2018, 48(3): 866-873. |
[7] | LIU Jie, ZHANG Ping, GAO Wan-fu. Feature selection method based on conditional relevance [J]. 吉林大学学报(工学版), 2018, 48(3): 874-881. |
[8] | WANG Xu, OUYANG Ji-hong, CHEN Gui-fen. Heuristic algorithm of all common subsequences of multiple sequences for measuring multiple graphs similarity [J]. 吉林大学学报(工学版), 2018, 48(2): 526-532. |
[9] | YANG Xin, XIA Si-jun, LIU Dong-xue, FEI Shu-min, HU Yin-ji. Target tracking based on improved accelerated gradient under tracking-learning-detection framework [J]. 吉林大学学报(工学版), 2018, 48(2): 533-538. |
[10] | LIU Xue-juan, YUAN Jia-bin, XU Juan, DUAN Bo-jia. Quantum k-means algorithm [J]. 吉林大学学报(工学版), 2018, 48(2): 539-544. |
[11] | WU Kai-jun, WANG Chun-li, SHAN Ya-zhou, DU San-shan, LU Huai-wei. Chemical synapse coupling synchronization of Hindmarsh-Rose neurons under Gauss white noise [J]. 吉林大学学报(工学版), 2017, 47(5): 1554-1560. |
[12] | QU Hui-yan, ZHAO Wei, QIN Ai-hong. A fast collision detection algorithm based on optimization operator [J]. 吉林大学学报(工学版), 2017, 47(5): 1598-1603. |
[13] | LI Jia-fei, SUN Xiao-yu. Clustering method for uncertain data based on spectral decomposition [J]. 吉林大学学报(工学版), 2017, 47(5): 1604-1611. |
[14] | SHAO Ke-yong, CHEN Feng, WANG Ting-ting, WANG Ji-chi, ZHOU Li-peng. Full state based adaptive control of fractional order chaotic system without equilibrium point [J]. 吉林大学学报(工学版), 2017, 47(4): 1225-1230. |
[15] | WANG Sheng-sheng, WANG Chuang-feng, GU Fang-ming. Spatio-temporal reasoning for OPRA direction relation network [J]. 吉林大学学报(工学版), 2017, 47(4): 1238-1243. |
|