[1] [1] (QU Zhiyu,MAO Xiaojie,HOU Changbo. Radar signal recognition based on singular value entropy and fractal dimension[J].

          System Engineering and Electronic, 2018(2):303-307.)

          (QU Zhiyu,MAO Xiaojie,HOU Changbo. Radar signal recognition based on singular value entropy and fractal dimension[J]. System Engineering and Electronic, 2018(2):303-307.)

          (QU Zhiyu,MAO Xiaojie,HOU Changbo. Radar signal recognition based on singular value entropy and fractal dimension[J]. System Engineering and Electronic, 2018(2):303-307.)

[2] [2] ALAKHUTDINOV R,HINTON G E. Deep Boltzmann machines[C]// Proceedings of the 12th International Conference on Artificial Intelligence and Statistics. 2009:448-455.

          ALAKHUTDINOV R,HINTON G E. Deep Boltzmann machines[C]// Proceedings of the 12th International Conference on

          ALAKHUTDINOV R,HINTON G E. Deep Boltzmann machines[C]// Proceedings of the 12th International Conference on Artificial Intelligence and Statistics. 2009:448-455.

          Artificial Intelligence and Statistics. 2009:448-455.

[3] [3] (HAN Jun,HE Minghao,ZHU Zhenbo,et al. Sorting unknown radar emitter signal based on the complexity characteristics[J]. Journal of Electronics and Information Technology, 2009,31(11):2552-2556.)

          (HAN Jun,HE Minghao,ZHU Zhenbo,et al. Sorting unknown radar emitter signal based on the complexity characteristics[J]. Journal of Electronics and Information Technology, 2009,31(11):2552-2556.)

          Journal of Electronics and Information Technology, 2009,31(11):2552-2556.)

          (HAN Jun,HE Minghao,ZHU Zhenbo,et al. Sorting unknown radar emitter signal based on the complexity characteristics[J].

[4] [4] science[C]// Genetic and Evolutionary Computation Conference. [S.l]:ACM, 2016:485-492.

          OLSON R S,BARTLEY N,URBANOWICZ R J,et al. Evaluation of a tree-based pipeline optimization tool for automating data

          OLSON R S,BARTLEY N,URBANOWICZ R J,et al. Evaluation of a tree-based pipeline optimization tool for automating data science[C]// Genetic and Evolutionary Computation Conference. [S.l]:ACM, 2016:485-492.

          OLSON R S,BARTLEY N,URBANOWICZ R J,et al. Evaluation of a tree-based pipeline optimization tool for automating data science[C]// Genetic and Evolutionary Computation Conference. [S.l]:ACM, 2016:485-492.

[5] [5] LETHAM B,RUDIN C,MCCORMICK T H,et al. Interpretable classifiers using rules and Bayesian analysis: building a better

          LETHAM B,RUDIN C,MCCORMICK T H,et al. Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model[J]. Annals of Applied Statistics, 2013,9(3):1350-1371.

          LETHAM B,RUDIN C,MCCORMICK T H,et al. Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model[J]. Annals of Applied Statistics, 2013,9(3):1350-1371.

          stroke prediction model[J]. Annals of Applied Statistics, 2013,9(3):1350-1371.

[6] [6] Mingfeng. Research on key techniques and anti-jamming performance and implementation of simulation software system

          for phase coded OFDM radar[D]. Chengdu,China:University of Electronic Science and Technology of China, 2016.)

[7] [7] Zhenghui,YAN Jihong,HE Zishu. Design for MIMO radar and implementation of OFDM-LFM waveform[J]. Radar Science and

          Technology, 2013,11(1):77-81.)

[8] [8] (XU Wei,YU Jianyu,CHEN Mao. Intra-pulse modulation recognition of radar signal based on multi-dimensional features [J]. Journal of Terahertz Science and Electronic Information Technology, 2018,16(1):81-86.)

          (XU Wei,YU Jianyu,CHEN Mao. Intra-pulse modulation recognition of radar signal based on multi-dimensional features [J].

          (XU Wei,YU Jianyu,CHEN Mao. Intra-pulse modulation recognition of radar signal based on multi-dimensional features [J]. Journal of Terahertz Science and Electronic Information Technology, 2018,16(1):81-86.)

          Journal of Terahertz Science and Electronic Information Technology, 2018,16(1):81-86.)

[9] [9] Computational Harmonic Analysis, 2011,30(1):47-68.

          MARTINSSON P G,ROKHLIN V,TYGERT M. A randomized algorithm for the decomposition of matrices[J]. Applied & Computational Harmonic Analysis, 2011,30(1):47-68.

          MARTINSSON P G,ROKHLIN V,TYGERT M. A randomized algorithm for the decomposition of matrices[J]. Applied & Computational Harmonic Analysis, 2011,30(1):47-68.

          MARTINSSON P G,ROKHLIN V,TYGERT M. A randomized algorithm for the decomposition of matrices[J]. Applied &

[10] [10] CHEN T,GUESTRIN C. XGBoost:a scalable tree boosting system[C]// Association for Computing Machinery. 2016:785-794.

          CHEN T,GUESTRIN C. XGBoost:a scalable tree boosting system[C]// Association for Computing Machinery. 2016:785-794.

          CHEN T,GUESTRIN C. XGBoost:a scalable tree boosting system[C]// Association for Computing Machinery. 2016:785-794.

[11] [11] OLSON R S,MOORE J H. TPOT:a tree-based pipeline optimization tool for automating machine learning[J]. Journal of Machine Learning Research, 2016(64):66-74.

          OLSON R S,MOORE J H. TPOT:a tree-based pipeline optimization tool for automating machine learning[J]. Journal of Machine Learning Research, 2016(64):66-74.

          OLSON R S,MOORE J H. TPOT:a tree-based pipeline optimization tool for automating machine learning[J]. Journal of

          Machine Learning Research, 2016(64):66-74.

[12] [12] PARIZEAU M. DEAP:evolutionary algorithms made easy[J]. Journal of Machine Learning Research, 2012,13(1):2171-2175.

          PARIZEAU M. DEAP:evolutionary algorithms made easy[J]. Journal of Machine Learning Research, 2012,13(1):2171-2175.

          PARIZEAU M. DEAP:evolutionary algorithms made easy[J]. Journal of Machine Learning Research, 2012,13(1):2171-2175.