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    A Study on the 3D Hopfield Neural Network Model via Nonlocal Atangana–Baleanu Operators by Shahram Rezapour, Pushpendra Kumar, Vedat Suat Erturk, Sina Etemad

    Published 2022-01-01
    “…Hopfield neural network (HNN) is considered as an artificial model derived from the brain structures and it is an important model that admits an adequate performance in neurocomputing. …”
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  5. 2085
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    INFLUENCE OF FEEDING NORMALIZED TRACE ELEMENTS IN MINERAL AND ORGANIC FORM ON GROWTH, DEVELOPMENT AND METABOLISM OF YOUNG CATTLE by Ye. Yu. Zalyubovskaya

    Published 2018-05-01
    “…The calves in the control group were fed the basic diet adopted in the farm, the animals in the first experimental group were fed the basic diet with addition of normalized trace elements (iodine, cobalt and selenium) in mineral form, the animals in the second experimental group were given the same trace elements in organic form. …”
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    An Approximation Mathematical Formula of Pattern Analysis for Distorted Reflector Antennas considering Surface Normal Vector Variation by Shuxin Zhang, Guigeng Yang, Yiqun Zhang

    Published 2016-01-01
    “…The formula is derived by expanding the surface normal vector into a first-order Taylor series and the phase error into a second-order Taylor series. …”
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    Improved Set-point Tracking Control of an Unmanned Aerodynamic MIMO System Using Hybrid Neural Networks by Oduetse Matsebe, David Mohammed Ezekiel, Ravi Samikannu

    Published 2024-03-01
    “…Artificial neural networks (ANN), an Artificial Intelligence (AI) technique, are both bio-inspired and nature-inspired models that mimic the operations of the human brain and the central nervous system that is capable of learning. …”
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  14. 2094

    Development of Stacked Long Short-Term Memory Neural Networks with Numerical Solutions for Wind Velocity Predictions by Chih-Chiang Wei

    Published 2020-01-01
    “…Our deeper neural networks comprise multilayer perceptron (MLP), deep recurrent neural networks (DRNNs), and stacked long short-term memory (LSTM). …”
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  15. 2095

    Dynamic Learning from Adaptive Neural Control of Uncertain Robots with Guaranteed Full-State Tracking Precision by Min Wang, Yanwen Zhang, Huiping Ye

    Published 2017-01-01
    “…Subsequently, an appropriate state transformation is adopted to achieve the accurate convergence of neural weight estimates. The corresponding experienced knowledge on unknown robotic dynamics is stored in NNs with constant neural weight values. …”
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  16. 2096

    Synthesis of Thinned Planar Antenna Array Using Multiobjective Normal Mutated Binary Cat Swarm Optimization by Lakshman Pappula, Debalina Ghosh

    Published 2016-01-01
    “…In this paper, a novel multiobjective normal mutated binary cat swarm optimization (MO-NMBCSO) is developed and proposed for the synthesis of thinned planar antenna arrays. …”
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  17. 2097

    Position/Force Tracking Impedance Control for Robotic Systems with Uncertainties Based on Adaptive Jacobian and Neural Network by Jinzhu Peng, Zeqi Yang, Tianlei Ma

    Published 2019-01-01
    “…In this paper, an adaptive Jacobian and neural network based position/force tracking impedance control scheme is proposed for controlling robotic systems with uncertainties and external disturbances. …”
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  18. 2098

    The Influence of Initial Normal Stress Assumption of Slip Surface on Safety Factor of Symmetrical Three-Dimensional Slopes by Huali Liu

    Published 2019-01-01
    “…By using the explicit solution of three-dimensional slope stability based on modification of normal stress distribution over the slip surface, the influence of assumption of the three-dimensional initial normal stress on the safety factor is investigated. …”
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  19. 2099

    A big data dynamic approach for adaptive music instruction with deep neural fuzzy logic control by Dong Li, Zhenfang Liu

    Published 2025-01-01
    “…Therefore, the fuzzification relies on error normalization using common adaptive suggestions for different learning sessions. …”
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