TY - JOUR AU - Watta, P. B. AU - Wang, K. AU - Hassoun, M. H. PY - 1997 DA - 1997// TI - Recurrent neural nets as dynamical Boolean systems with application to associative memory JO - IEEE Trans. Neural Netw. VL - 8 UR - https://doi.org/10.1109/72.641450 DO - 10.1109/72.641450 ID - Watta1997 ER - TY - JOUR AU - Bao, G. AU - Zeng, Z. PY - 2012 DA - 2012// TI - Analysis and design of associative memories based on recurrent neural network with discontinuous activation functions JO - Neurocomputing VL - 77 UR - https://doi.org/10.1016/j.neucom.2011.08.026 DO - 10.1016/j.neucom.2011.08.026 ID - Bao2012 ER - TY - JOUR AU - Lee, T. AU - Ching, P. C. AU - Chan, L. W. PY - 1998 DA - 1998// TI - Isolated word recognition using modular recurrent neural networks JO - Pattern Recognit. VL - 31 UR - https://doi.org/10.1016/S0031-3203(97)00106-4 DO - 10.1016/S0031-3203(97)00106-4 ID - Lee1998 ER - TY - JOUR AU - Juang, C. F. AU - Chiou, C. T. AU - Lai, C. L. PY - 2007 DA - 2007// TI - Hierarchical singleton-type recurrent neural fuzzy networks for noisy speech recognition JO - IEEE Trans. Neural Netw. VL - 18 UR - https://doi.org/10.1109/TNN.2007.891194 DO - 10.1109/TNN.2007.891194 ID - Juang2007 ER - TY - JOUR AU - Cao, S. AU - Cao, J. PY - 2005 DA - 2005// TI - Forecast of solar irradiance using recurrent neural networks combined with wavelet analysis JO - Appl. Therm. Eng. VL - 25 UR - https://doi.org/10.1016/j.applthermaleng.2004.06.017 DO - 10.1016/j.applthermaleng.2004.06.017 ID - Cao2005 ER - TY - JOUR AU - Cao, Q. AU - Ewing, B. T. AU - Thompson, M. A. PY - 2012 DA - 2012// TI - Forecasting wind speed with recurrent neural networks JO - Eur. J. Oper. Res. VL - 221 UR - https://doi.org/10.1016/j.ejor.2012.02.042 DO - 10.1016/j.ejor.2012.02.042 ID - Cao2012 ER - TY - JOUR AU - Xiong, Z. AU - Zhang, J. PY - 2005 DA - 2005// TI - A batch-to-batch iterative optimal control strategy based on recurrent neural network models JO - J. Process Control VL - 15 UR - https://doi.org/10.1016/j.jprocont.2004.04.005 DO - 10.1016/j.jprocont.2004.04.005 ID - Xiong2005 ER - TY - JOUR AU - Tian, Y. AU - Zhang, J. AU - Morris, J. PY - 2002 DA - 2002// TI - Optimal control of a batch emulsion copolymerisation reactor based on recurrent neural network models JO - Chem. Eng. Process. Process Intensif. VL - 41 UR - https://doi.org/10.1016/S0255-2701(01)00173-8 DO - 10.1016/S0255-2701(01)00173-8 ID - Tian2002 ER - TY - JOUR AU - Yang, X. AU - Li, X. AU - Xi, Q. AU - Duan, P. PY - 2018 DA - 2018// TI - Review of stability and stabilization for impulsive delayed systems JO - Math. Biosci. Eng. VL - 15 UR - https://doi.org/10.3934/mbe.2018069 DO - 10.3934/mbe.2018069 ID - Yang2018 ER - TY - JOUR AU - Song, Q. AU - Yu, Q. AU - Zhao, Z. AU - Liu, Y. AU - Alsaadi, F. E. PY - 2018 DA - 2018// TI - Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties JO - Neural Netw. VL - 103 UR - https://doi.org/10.1016/j.neunet.2018.03.008 DO - 10.1016/j.neunet.2018.03.008 ID - Song2018 ER - TY - JOUR AU - Yang, D. AU - Li, X. AU - Qiu, J. PY - 2019 DA - 2019// TI - Output tracking control of delayed switched systems via state-dependent switching and dynamic output feedback JO - Nonlinear Anal. Hybrid Syst. VL - 32 UR - https://doi.org/10.1016/j.nahs.2019.01.006 DO - 10.1016/j.nahs.2019.01.006 ID - Yang2019 ER - TY - JOUR AU - Song, Q. AU - Chen, X. PY - 2018 DA - 2018// TI - Multistability analysis of quaternion-valued neural networks with time delays JO - IEEE Trans. Neural Netw. Learn. Syst. VL - 29 UR - https://doi.org/10.1109/TNNLS.2018.2801297 DO - 10.1109/TNNLS.2018.2801297 ID - Song2018 ER - TY - JOUR AU - Li, X. AU - Yang, X. AU - Huang, T. PY - 2019 DA - 2019// TI - Persistence of delayed cooperative models: impulsive control method JO - Appl. Math. Comput. VL - 342 ID - Li2019 ER - TY - JOUR AU - Park, J. H. PY - 2006 DA - 2006// TI - On global stability criterion for neural networks with discrete and distributed delays JO - Chaos Solitons Fractals VL - 30 UR - https://doi.org/10.1016/j.chaos.2005.08.147 DO - 10.1016/j.chaos.2005.08.147 ID - Park2006 ER - TY - JOUR AU - Liu, Y. R. AU - Wang, Z. D. AU - Liu, X. H. PY - 2007 DA - 2007// TI - Design of exponential state estimators for neural networks with mixed time delays JO - Phys. Lett. A VL - 364 UR - https://doi.org/10.1016/j.physleta.2006.12.018 DO - 10.1016/j.physleta.2006.12.018 ID - Liu2007 ER - TY - JOUR AU - Zhang, H. AU - Huang, Y. AU - Wang, B. AU - Wang, Z. PY - 2014 DA - 2014// TI - Design and analysis of associative memories based on external inputs of delayed recurrent neural networks JO - Neurocomputing VL - 136 UR - https://doi.org/10.1016/j.neucom.2013.12.014 DO - 10.1016/j.neucom.2013.12.014 ID - Zhang2014 ER - TY - JOUR AU - Wang, Z. D. AU - Liu, Y. R. AU - Liu, X. H. PY - 2005 DA - 2005// TI - On global asymptotic stability of neural networks with discrete and distributed delays JO - Phys. Lett. A VL - 345 UR - https://doi.org/10.1016/j.physleta.2005.07.025 DO - 10.1016/j.physleta.2005.07.025 ID - Wang2005 ER - TY - JOUR AU - Feng, Y. AU - Yang, X. AU - Song, Q. AU - Cao, J. PY - 2018 DA - 2018// TI - Synchronization of memristive neural networks with mixed delays via quantized intermittent control JO - Appl. Math. Comput. VL - 339 ID - Feng2018 ER - TY - JOUR AU - Feng, Y. AU - Xiong, X. AU - Tang, R. AU - Yang, X. PY - 2018 DA - 2018// TI - Exponential synchronization of inertial neural networks with mixed delays via quantized pinning control JO - Neurocomputing VL - 310 UR - https://doi.org/10.1016/j.neucom.2018.05.030 DO - 10.1016/j.neucom.2018.05.030 ID - Feng2018 ER - TY - JOUR AU - Wang, Z. D. AU - Shu, H. S. AU - Liu, Y. R. AU - Ho, D. W. C. AU - Liu, X. H. PY - 2006 DA - 2006// TI - Robust stability analysis of generalized neural networks with discrete and distributed time delays JO - Chaos Solitons Fractals VL - 30 UR - https://doi.org/10.1016/j.chaos.2005.08.166 DO - 10.1016/j.chaos.2005.08.166 ID - Wang2006 ER - TY - JOUR AU - Zeng, Z. G. AU - Huang, T. W. AU - Zheng, W. X. PY - 2010 DA - 2010// TI - Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function JO - IEEE Trans. Neural Netw. VL - 21 UR - https://doi.org/10.1109/TNN.2010.2054106 DO - 10.1109/TNN.2010.2054106 ID - Zeng2010 ER - TY - JOUR AU - Cao, J. AU - Song, Q. AU - Li, T. AU - Luo, Q. AU - Suna, C. Y. AU - Zhang, B. Y. PY - 2009 DA - 2009// TI - Exponential stability of recurrent neural networks with time-varying discrete and distributed delays JO - Nonlinear Anal. VL - 10 UR - https://doi.org/10.1016/j.nonrwa.2008.03.004 DO - 10.1016/j.nonrwa.2008.03.004 ID - Cao2009 ER - TY - JOUR AU - Yang, F. AU - Zhang, C. AU - Lien, D. C. H. AU - Chung, L. Y. PY - 2007 DA - 2007// TI - Global asymptotic stability for cellular neural networks with discrete and distributed time-varying delays JO - Chaos Solitons Fractals VL - 34 UR - https://doi.org/10.1016/j.chaos.2006.03.121 DO - 10.1016/j.chaos.2006.03.121 ID - Yang2007 ER - TY - JOUR AU - Song, Q. AU - Yu, Q. AU - Zhao, Z. AU - Liu, Y. AU - Alsaadi, F. E. PY - 2018 DA - 2018// TI - Dynamics of complex-valued neural networks with variable coefficients and proportional delays JO - Neurocomputing VL - 275 UR - https://doi.org/10.1016/j.neucom.2017.11.041 DO - 10.1016/j.neucom.2017.11.041 ID - Song2018 ER - TY - JOUR AU - Liu, X. W. AU - Chen, T. P. PY - 2016 DA - 2016// TI - Global exponential stability for complex-valued recurrent neural networks with asynchronous time delays JO - IEEE Trans. Neural Netw. Learn. Syst. VL - 27 UR - https://doi.org/10.1109/TNNLS.2015.2415496 DO - 10.1109/TNNLS.2015.2415496 ID - Liu2016 ER - TY - JOUR AU - Li, L. AU - Li, C. PY - 2018 DA - 2018// TI - Discrete analogue for a class of impulsive Cohen–Grossberg neural networks with asynchronous time-varying delays JO - Neural Process. Lett. UR - https://doi.org/10.1007/s11063-018-9819-3 DO - 10.1007/s11063-018-9819-3 ID - Li2018 ER -