Showing 241 - 260 results of 670 for search '"fuzzy neural network"', query time: 0.64s Refine Results
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    Group based emotion recognition from video sequence with hybrid optimization based recurrent fuzzy neural network by Velagapudi Sreenivas, Varsha Namdeo, E. Vijay Kumar

    Published 2020-08-01
    “…In this paper, a GER with hybrid optimization based recurrent fuzzy neural network is proposed which is from video sequence. …”
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    Research on Energy-Saving Optimization Method and Intelligent Control of Refrigeration Station Equipment Based on Fuzzy Neural Network by Wansu Lu, Jiajia Liang, Hao Su

    Published 2025-01-01
    “…Meanwhile, the feasibility of fuzzy neural networks in bidirectional variable flow systems and their energy-saving effect were studied. …”
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    An Improved Fuzzy Neural Network Compound Control Scheme for Inertially Stabilized Platform for Aerial Remote Sensing Applications by Xiangyang Zhou, Yating Li, Yuan Jia, Libo Zhao

    Published 2018-01-01
    “…An improved fuzzy neural network (FNN)/proportion integration differentiation (PID) compound control scheme based on variable universe and back-propagation (BP) algorithms is proposed to improve the ability of disturbance rejection of a three-axis inertially stabilized platform (ISP) for aerial remote sensing applications. …”
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    Fixed-Time Synchronization for Fractional-Order Cellular Inertial Fuzzy Neural Networks with Mixed Time-Varying Delays by Yeguo Sun, Yihong Liu, Lei Liu

    Published 2024-02-01
    “…Due to the widespread application of neural networks (NNs), and considering the respective advantages of fractional calculus (FC), inertial neural networks (INNs), cellular neural networks (CNNs), and fuzzy neural networks (FNNs), this paper investigates the fixed-time synchronization (FDTS) issues for a particular category of fractional-order cellular-inertial fuzzy neural networks (FCIFNNs) that involve mixed time-varying delays (MTDs), including both discrete and distributed delays. …”
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    Fuzzy Neural Network Q-Learning Method for Model Disturbance Change: A Deployable Antenna Panel Application by Zhiyong Liu, Hong Bao, Song Xue, Jingli Du

    Published 2019-01-01
    “…This paper addresses the disturbance change control problem with an active deformation adjustment mechanism on a 5-meter deployable antenna panel. A fuzzy neural network Q-learning control (FNNQL) strategy is proposed in this paper for the disturbance change to improve the accuracy of the antenna panel. …”
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