Analysis and design of associative memories based on recurrent neural network with discontinuous activation functions. - Gang Bao 002; Zhigang Zeng (Neurocomputing, 2012)

Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type. - Gang Bao 002; Shiping Wen 001; Zhigang Zeng (Neural Networks, 2012)

Robust Passivity and Passification for a Class of Singularly Perturbed Nonlinear Systems with Time-Varying Delays and Polytopic Uncertainties via Neural Networks. - Shiping Wen 001; Zhigang Zeng; Tingwen Huang; Gang Bao 002 (Circuits Syst. Signal Process., 2013)

Multistability of periodic delayed recurrent neural network with memristors. - Gang Bao 002; Zhigang Zeng (Neural Comput. Appl., 2013)

Global exponential synchronization of memristor-based recurrent neural networks with time-varying delays. - Shiping Wen 001; Gang Bao 002; Zhigang Zeng; Yiran Chen 001; Tingwen Huang (Neural Networks, 2013)

Attractor flow analysis for recurrent neural network with back-to-back memristors. - Gang Bao 002; Zhigang Zeng (FOCI, 2014)

Global asymptotical stability analysis for a kind of discrete-time recurrent neural network with discontinuous activation functions. - Gang Bao 002; Zhigang Zeng (Neurocomputing, 2016)

Region stability analysis for switched discrete-time recurrent neural network with multiple equilibria. - Gang Bao 002; Zhigang Zeng (Neurocomputing, 2017)

Region stability analysis and tracking control of memristive recurrent neural network. - Gang Bao 002; Zhigang Zeng; Yanjun Shen (Neural Networks, 2018)

Stability Analysis for Memristive Recurrent Neural Network Under Different External Stimulus. - Gang Bao 002; Zhigang Zeng (Neural Process. Lett., 2018)

Memory analysis for memristors and memristive recurrent neural networks. - Gang Bao 002; Yide Zhang; Zhigang Zeng (IEEE CAA J. Autom. Sinica, 2020)

Region Stability and Stabilization of Recurrent Neural Network with Parameter Disturbances. - Gang Bao 002; Yue Peng; Xue Zhou; Shunqi Gong (Neural Process. Lett., 2020)

Prescribed convergence analysis of recurrent neural networks with parameter variations. - Gang Bao 002; Zhigang Zeng (Math. Comput. Simul., 2021)

Short-term Electricity Price Forecasting Based on Empirical Mode Decomposition and Deep Neural Network. - Gang Bao 002; Yikai Liu; Rui Xu 017 (Int. J. Artif. Intell. Tools, 2022)

Associative Memory Synthesis Based on Region Attractive Recurrent Neural Networks. - Gang Bao 002; Shunqi Gong; Xue Zhou (Neural Process. Lett., 2022)

Analysis and Design of Multivalued High-Capacity Associative Memories Based on Delayed Recurrent Neural Networks. - Jiahui Zhang; Song Zhu; Gang Bao 002; Xiaoyang Liu 002; Shiping Wen 001 (IEEE Trans. Cybern., 2022)

Multistability of Dynamic Memristor Delayed Cellular Neural Networks With Application to Associative Memories. - Kun Deng; Song Zhu; Gang Bao 002; Jun Fu 001; Zhigang Zeng (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Data-Driven Energy Management Strategy Based on Deep Reinforcement Learning for Microgrid Systems. - Gang Bao 002; Rui Xu 017 (Cogn. Comput., 2023)

Prescribed attractivity region selection for recurrent neural networks based on deep reinforcement learning. - Gang Bao 002; Zhenyan Song; Rui Xu 017 (Neural Comput. Appl., 2024)