Showing 921 - 940 results of 5,752 for search '"neural networks"', query time: 0.08s Refine Results
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    Global Exponential Robust Stability of Static Interval Neural Networks with Time Delay in the Leakage Term by Guiying Chen, Linshan Wang

    Published 2014-01-01
    “…The stability of a class of static interval neural networks with time delay in the leakage term is investigated. …”
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    Article
  4. 924

    An Improved Prediction Model of IGBT Junction Temperature Based on Backpropagation Neural Network and Kalman Filter by Yu Dou

    Published 2021-01-01
    “…First, the validities of the BP neural network and Kalman filter are verified, respectively. …”
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    Article
  5. 925

    Analysis of Human Resource Allocation Model for Tourism Industry Based on Improved BP Neural Network by Shuo Zhu, Yan Liu

    Published 2022-01-01
    “…Then, to address the problem that the initial weights of the long and short-term memory neural network and gated BP unit neural network have a large impact on the convergence speed and prediction accuracy of the algorithm after the initial weight selection is determined, this paper introduces the random perturbation term into the gate structure of the long and short-term memory neural network and gated BP unit neural network and proposes and connects an improved long and short-term memory neural network and gated BP unit neural network. …”
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    Sensitivity Analysis of the Artificial Neural Network Outputs in Friction Stir Lap Joining of Aluminum to Brass by Mohammad Hasan Shojaeefard, Mostafa Akbari, Mojtaba Tahani, Foad Farhani

    Published 2013-01-01
    “…Scanning electron microscopy (SEM) and X-ray diffraction analysis were used to probe chemical compositions. An artificial neural network model was developed to simulate the correlation between the Friction Stir Lap Welding (FSLW) parameters and mechanical properties. …”
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  9. 929

    Existence and Stability of Almost Periodic Solution for a Stochastic Cellular Neural Network with External Perturbation by Hui Zhou, Zongfu Zhou, Wei Jiang

    Published 2014-01-01
    “…A class of stochastic cellular neural networks with external perturbation is investigated. …”
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    Article
  10. 930

    Torque Prediction In Deep Hole Drilling: Artificial Neural Networks Versus Nonlinear Regression Model by Ngoc Hung- Chu, Hoai Nam- Nguyen, Van Du- Nguyen, Dang Binh- Nguyen

    Published 2025-12-01
    “…In this paper, we have developed a two-layer artificial neural network (ANN) model for training using the Levenberg-Marquardt algorithm to predict torque during deep drilling. …”
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    Stability Analysis of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Time-Varying Delays by Chuangxia Huang, Xinsong Yang, Yigang He

    Published 2009-01-01
    “…This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays. With the help of Lyapunov method, stochastic analysis, and inequality techniques, a set of new suffcient conditions on pth moment exponential stability for the considered system is presented. …”
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    Application of a Recurrent Neural Network and Simplified Semianalytical Method for Continuous Strain Histories Estimation by Huan Luo, Miaohua Huang, Wei Xiong

    Published 2019-01-01
    “…To obtain accurate fatigue loading in the form of continuous strain histories, a novel approach is proposed based on the combination of a recurrent neural network and simplified semianalytical method. The recurrent neural network named nonlinear autoregressive model with exogenous inputs (NLARX) is applied to determine the relationship between external loads and corresponding fatigue loading. …”
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    Article
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    Prediction of Load-Carrying Capacity in Steel Shear Wall with Opening Using Artificial Neural Network by E. Khalilzadeh Vahidi, M. M. Roshani

    Published 2016-01-01
    “…Multilayer perceptron (MLP) neural network was used to predict the maximum load in SPSW with opening. …”
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  17. 937

    Vehicle state estimation based on extended Kalman filter and radial basis function neural networks by Yunfei Zha, Xinye Liu, Fangwu Ma, CC Liu

    Published 2022-06-01
    “…Meanwhile, considering the influence of dynamic model and sensor noise and its coefficient selection on the estimation results, a radial basis function neural network estimation algorithm is designed. To further improve the reliability of the estimation algorithm, a method of estimation algorithm fusion is proposed based on the idea of mutual compensation between model- and data-driven estimation algorithms. …”
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