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6 Result(s)

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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 decomposition-based ensemble model for short-term load forecasting using hybrid artificial neural networks

    Highly accurate short-term load forecasting (STLF) is essential in the operation of power systems. However, the existing predictive methods cannot achieve an effective balance between prediction accuracy and c...

    Zhiyuan Liao, Jiehui Huang, Yuxin Cheng, Chunquan Li, Peter X. Liu in Applied Intelligence (2022)

  4. No Access

    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)

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    Article

    Spiral-based chaotic chicken swarm optimization algorithm for parameters identification of photovoltaic models

    Photovoltaic (PV) systems are becoming increasingly significant because they can convert solar energy into electricity. The conversion efficiency is related to the PV models’ parameters, so it is crucial to id...

    Miao Li, Chunquan Li, Zhengyu Huang, Jiehui Huang, Gaige Wang… in Soft Computing (2021)

  6. No Access

    Article

    A novel sub-band adaptive filtering for acoustic echo cancellation based on empirical mode decomposition algorithm

    Acoustic echo cancellation is one of the most severe requirements in hands-free telephone and teleconference communication. This paper proposes an Empirical Mode Decomposition (EMD)-based sub-band adaptive fil...

    **aochuan He, Rafik A. Goubran, Peter X. Liu in International Journal of Speech Technology (2014)