Target Recognition Based on Rough Set with Multi-Source Information

1J. Liangxiao, H. Zhang, and C. Zhihua, “Towards optimal bayes decision for speech recognition”, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Press, May, 2006, pp. 14-19, doi: 10.1109/ICASSP.2006.1659953.10.1109/ICASSP.2006.1659953 Search in Google Scholar

2D.P. Mukherjee, S.K. Das, and S. Saha, “Key Frame Estimation in Video Using Randomness Measure of Feature Point Pattern”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, May 2007, pp. 612-620, doi: 10.1109/TCSVT.2007.895353.10.1109/TCSVT.2007.895353 Search in Google Scholar

3Wei Pan, Kun She, Pengyuan Wei, Kai Zeng, Nearest Neighbor Condensation Based on Fuzzy Rough Set for Classification, Lecture Notes in Computer Science. pp.432-443, 2014.10.1007/978-3-319-11740-9_40 Search in Google Scholar

4T. Hooman and S. Alireza, “Handling uncertainties of membership functions with Shadowed Fuzzy Sets,” 2012 World Automation Congress (WAC), IEEE Press, June, 2012, pp. 1-5. Search in Google Scholar

5Qiang Shi, Wangli Chen, Qianqing Qin and Guorui Ma, Gaussian kernel-based Fuzzy Rough Set for information fusion of imperfect images, 2014 12th International Conference on Signal Processing (ICSP), pp. 900 - 904, 2014.10.1109/ICOSP.2014.7015134 Search in Google Scholar

6W. Hsin-Jung , S. Yao-Lung, and L. Shie-Jue. “A Fast Method for Computing the Centroid of a Type-2 Fuzzy Set Systems,” IEEE Transactions on Man, and Cybernetics, Part B: Cybernetics, 2012, vol. 42, pp. 764-777, doi: 10.1109/TSMCB.2011.2177085.10.1109/TSMCB.2011.217708522180511 Search in Google Scholar

7J. Lindblad and N. Sladoje. “Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and Classification,” IEEE Transactions on Image Processing, 2014, vol. 23, pp. 126-136, doi: 10.1109/TIP.2013.2286904.10.1109/TIP.2013.228690424158476 Search in Google Scholar

8M. Pagola, C. Lopez-Molina, J. Fernandez, E. Barrenechea, and H. Bustince, “Interval Type-2 Fuzzy Sets Constructed From Several Membership Functions: Application to the Fuzzy Thresholding Algorithm”, IEEE Transactions on Fuzzy Systems, 2013, vol. 21, pp. 230-244, doi: 10.1109/TFUZZ.2012.2209885.10.1109/TFUZZ.2012.2209885 Search in Google Scholar

9G. Dongsheng and Z. Yunong. “Novel Recurrent Neural Network for Time-Varying Problems Solving,” IEEE Computational Intelligence Magazine, 2012, vol. 7, pp. 61-65, doi: 10.1109/MCI.2012.2215139.10.1109/MCI.2012.2215139 Search in Google Scholar

10A. Hirose and S. Yoshida. “Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence,” IEEE Transactions on Neural Networks and Learning Systems, 2012, vol. 23, pp. 541-551.10.1109/TNNLS.2012.218361324805038 Search in Google Scholar

11Y. Jun and Meng Y. “Self-organizing reservior computing with dynamically regulated cortical neural networks,” The 2012 International Joint Conference on Neural Networks, IEEE Press, June, 2012, pp. 1-7, doi: 10.1109/IJCNN.2012.6252772.10.1109/IJCNN.2012.6252772 Search in Google Scholar

12H. Jin and W. Jun. “Global Stability of Complex-Valued Recurrent Neural Networks With Time-Delays,” IEEE Transactions on Neural Networks and Learning Systems, 2012, vol. 23, pp. 853-856, doi: 10.1109/TNNLS.2012.2195028.10.1109/TNNLS.2012.219502824806758Search in Google Scholar

13Z Yunong, G Dongsheng, and L. Zhan. “Common Nature of Learning Between Back- Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models,” IEEE Transactions on Neural Networks and Learning Systems, 2013, vol. 24, pp. 579-592, doi: 10.1109/TNNLS.2013.2238555.10.1109/TNNLS.2013.223855524808379 Search in Google Scholar

14R. Rakkiyappan, J. Cao, and G. Velmurugan. “Existence and Uniform Stability Analysis of Fractional-Order Complex-Valued Neural Networks With Time Delays” IEEE Transactions on Neural Networks and Learning Systems, 2014, doi: 10.1109/TNNLS.2014.2311099.10.1109/TNNLS.2014.231109925532158 Search in Google Scholar

15M. Khalil-Hani, V.P. Nambiar, and M.N. Marsono. “Co-simulation methodology for improved design and verification of hardware neural networks,” 39th Annual Conference of the Electronics Society Industrial, 2013, pp. 2226-2231, doi: 10.1109/IECON.2013.6699477.10.1109/IECON.2013.6699477 Search in Google Scholar

16C. Zhengfa and L. Guifeng. “Application of Artificial Intelligence Technology in Water Resouces Planning of River Basin,” 2010, IEEE Press, pp. 322-325, doi: 10.1109/ISME.2010.267.10.1109/ISME.2010.267Search in Google Scholar

17S.C.Mukhopadhyay, F.P.Dawson, M.Iwahara and S.Yamada, “A Novel Compact Magnetic Current Limiter for Three Phase Applications”, IEEE Transactions on Magnetics, Vol. 36, No. 5, pp. 3568-3570, September 2000. Search in Google Scholar

18A. Albanese, S.K. Pal, and A. Petrosino. “Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection,” IEEE Transactions on Knowledge and Data Engineering, 2014, vol. 26, pp.194-207, doi: 10.1109/TKDE.2012.234.10.1109/TKDE.2012.234 Search in Google Scholar

19Q. Yuhua, L. Jiye, and D. Chuangyin. “Incomplete Multigranulation Rough Set Systems,” IEEE Transactions on Man and Cybernetics, Part A: Systems and Humans, 2010, vol. 40, pp. 420-431, doi: 10.1109/TSMCA.2009.2035436.10.1109/TSMCA.2009.2035436 Search in Google Scholar

20S. Yamada, K. Chomsuwan, S.C.Mukhopadhyay, M.Iwahara, M. Kakikawa and I. Nagano, “Detection of Magnetic Fluid Volume Density with a GMR Sensor”, Journal of Magnetics Society of Japan, Vol. 31, No. 2, pp. 44-47, 2007.10.3379/jmsjmag.31.44Search in Google Scholar

21L. Xiaodong, W. Pedrycz, C. Tianyou, and S. Mingli. “The Development of Fuzzy Rough Sets with the Use of Structures and Algebras of Axiomatic Fuzzy Sets,” IEEE Transactions on Knowledge and Data Engineering, 2009, vol. 21. pp. 443-462, doi: 10.1109/TKDE.2008.147.10.1109/TKDE.2008.147Search in Google Scholar

22S.C.Mukhopadhyay, K. Chomsuwan, C. Gooneratne and S. Yamada, “A Novel Needle-Type SV-GMR Sensor for Biomedical Applications”, IEEE Sensors Journal, Vol. 7, No. 3, pp. 401-408, March 2007.10.1109/JSEN.2007.891929 Search in Google Scholar

23H. Qinghua, Y. Daren, W. Pedrycz, and C. Degang. “Kernelized Fuzzy Rough Sets and Their Applications,” IEEE Transactions on Knowledge and Data Engineering, 2011, vol. 23, pp. 1649-1667, doi: 10.1109/TKDE.2010.260.10.1109/TKDE.2010.260Search in Google Scholar

24Lijuan Wang and Xiaojing Liu,Research on underwater target signal detection and recognition processing algorithm,International Journal on Smart Sensing and Intelligent Systems, vol.7, no.4 pp.1753-1772, 2014.Search in Google Scholar