Showing 161 - 180 results of 5,752 for search '"neural networks"', query time: 0.10s Refine Results
  1. 161
  2. 162

    Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks by Weijian Liu, Haoyuan Chang, Yang Xiao, Shuisheng Yu, Chuanbo Huang, Yuntian Yao

    Published 2022-01-01
    “…A U-net model to detect the arrival time of seismic waves is constructed based on the convolutional neural network (CNN) theory. The original data for 1555 segments and synthetic data of 7764 segments were detected using Akaike’s information criterion (AIC) algorithm, the time window energy eigenvalue algorithm, and the U-net model. …”
    Get full text
    Article
  3. 163
  4. 164
  5. 165
  6. 166
  7. 167
  8. 168
  9. 169
  10. 170

    Knowledge‐Informed Deep Neural Networks for Solar Flare Forecasting by Ming Li, Yanmei Cui, Bingxian Luo, Xianzhi Ao, Siqing Liu, Jingjing Wang, Shuxin Li, Chenxi Du, Xiaojing Sun, Xin Wang

    Published 2022-08-01
    “…By integrating prior knowledge in flare production into the convolutional neural network (CNN) structures, we have developed a knowledge‐informed deep neural network model aiming at forecasting solar flares. …”
    Get full text
    Article
  11. 171

    Retracted: Computer Medical Image Segmentation Based on Neural Network by Xiaopeng Wang, Lei Gu, Zhongyi Wang

    Published 2020-01-01
    “…The nonlinear quantified cellular neural network proposed in this article can reduce LUT resource consumption by 74% and energy of 48.2%. …”
    Get full text
    Article
  12. 172

    Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks by Chong Chen, Zhixia Ding

    Published 2019-01-01
    “…This paper investigates projective synchronization of nonidentical fractional-order memristive neural networks (NFMNN) via sliding mode controller. Firstly, based on the sliding mode control theory, a new fractional-order integral sliding mode controller is designed to ensure the occurrence of sliding motion. …”
    Get full text
    Article
  13. 173
  14. 174

    Efficient Neural Network Modeling for Flight and Space Dynamics Simulation by Ayman Hamdy Kassem

    Published 2011-01-01
    “…This paper represents an efficient technique for neural network modeling of flight and space dynamics simulation. …”
    Get full text
    Article
  15. 175

    Solar Energy Prediction for Malaysia Using Artificial Neural Networks by Tamer Khatib, Azah Mohamed, K. Sopian, M. Mahmoud

    Published 2012-01-01
    “…This paper presents a solar energy prediction method using artificial neural networks (ANNs). An ANN predicts a clearness index that is used to calculate global and diffuse solar irradiations. …”
    Get full text
    Article
  16. 176

    Deep Neural Network Model Forecasting for Financial and Economic Market by Fan Chen

    Published 2022-01-01
    “…In view of the Internet financial market dynamic (volume and daily trading), it is proposed based on a deep neural network for fusion level time series prediction model. …”
    Get full text
    Article
  17. 177
  18. 178

    Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification by Yunfei Han, Tonghai Jiang, Yupeng Ma, Chunxiang Xu

    Published 2018-01-01
    “…In this paper, an approach based on convolutional neural networks (CNNs) has been applied for vehicle classification. …”
    Get full text
    Article
  19. 179

    Predicting species distributions in the open ocean with convolutional neural networks by Morand, Gaétan, Joly, Alexis, Rouyer, Tristan, Lorieul, Titouan, Barde, Julien

    Published 2024-09-01
    “…In this study, we propose a new method that leverages deep learning, specifically convolutional neural networks (CNNs), to capture spatial features of environmental variables. …”
    Get full text
    Article
  20. 180

    Synchronization of Chaotic Delayed Neural Networks via Impulsive Control by Yang Fang, Kang Yan, Kelin Li

    Published 2014-01-01
    “…This paper is concerned with the impulsive synchronization problem of chaotic delayed neural networks. By employing Lyapunov stability theorem, impulsive control theory and linear matrix inequality (LMI) technique, several new sufficient conditions ensuring the asymptotically synchronization for coupled chaotic delayed neural networks are derived. …”
    Get full text
    Article