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within Peter X. Liu Remove this filter Artificial Intelligence Remove this filter Computational Science and Engineering Remove this filter

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  1. No Access

    Article

    A new super-predefined-time convergence and noise-tolerant RNN for solving time-variant linear matrix–vector inequality in noisy environment and its application to robot arm

    Recurrent neural networks (RNNs) are excellent solvers for time-variant linear matrix–vector inequality (TVLMVI). However, it is difficult for traditional RNNs to track the theoretical solution of TVLMVI under...

    Boyu Zheng, Chong Yue, Qianqian Wang, Chunquan Li… in Neural Computing and Applications (2024)

  2. No Access

    Article

    A novel varying-parameter periodic rhythm neural network for solving time-varying matrix equation in finite energy noise environment and its application to robot arm

    Solving matrix equation with noise interference is a challenging problem in mathematical and engineering applications. Unlike the traditional recurrent neural network, a novel varying-parameter periodic rhythm...

    Chunquan Li, Boyu Zheng, Qingling Ou, Qianqian Wang… in Neural Computing and Applications (2023)

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    Article

    A novel hybrid approach of ABC with SCA for the parameter optimization of SVR in blind image quality assessment

    Images may be distorted to different degrees in the process of acquisition, transmission, and reconstruction, which is not conducive to the perception and recognition of the human eye. Therefore, it is necessa...

    Chunquan Li, Yonghua He, Dian **ao, Zu Luo… in Neural Computing and Applications (2022)