Showing 381 - 400 results of 3,911 for search '"neural networks"', query time: 0.06s Refine Results
  1. 381

    An Index for Measuring Functional Diversity in Plant Communities Based on Neural Network Theory by Naiqi Song, Jin-Tun Zhang

    Published 2013-01-01
    “…A new method based on neural network, self-organizing feature map (SOFM index), was put forward and described. …”
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  2. 382
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  4. 384

    Classification of Riau Batik Motifs Using the Convolutional Neural Network (CNN) Algorithm by Dhea Amanda Ramadhan, Dian Ramadhani

    Published 2024-11-01
    “…By leveraging the Convolutional Neural Network (CNN) algorithm, the classification system was trained using a dataset of 1,440 images. …”
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  5. 385

    Neural Network Assisted Inverse Dynamic Guidance for Terminally Constrained Entry Flight by Hao Zhou, Tawfiqur Rahman, Wanchun Chen

    Published 2014-01-01
    “…This paper presents a neural network assisted entry guidance law that is designed by applying Bézier approximation. …”
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  6. 386

    Stability of Stochastic Reaction-Diffusion Recurrent Neural Networks with Unbounded Distributed Delays by Chuangxia Huang, Xinsong Yang, Yigang He, Lehua Huang

    Published 2011-01-01
    “…Stability of reaction-diffusion recurrent neural networks (RNNs) with continuously distributed delays and stochastic influence are considered. …”
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  7. 387

    Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment by Gaige Wang, Lihong Guo, Hong Duan

    Published 2013-01-01
    “…To improve the accuracy and usefulness of target threat assessment in the aerial combat, we propose a variant of wavelet neural networks, MWFWNN network, to solve threat assessment. …”
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    Article
  8. 388

    Global Universality of the Two-Layer Neural Network with the k-Rectified Linear Unit by Naoya Hatano, Masahiro Ikeda, Isao Ishikawa, Yoshihiro Sawano

    Published 2024-01-01
    “…This paper concerns the universality of the two-layer neural network with the k-rectified linear unit activation function with k=1,2,… with a suitable norm without any restriction on the shape of the domain in the real line. …”
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  9. 389

    Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks by Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li, Arindam Basu

    Published 2025-01-01
    “…However, recurrent neural networks (RNN) that are widely used for speech-recognition and natural language processing have tasted limited success with this approach. …”
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  10. 390
  11. 391

    Passivity and Synchronization of Multiple Multi-Delayed Neural Networks via Impulsive Control by Yong Wang, Zhichun Yang, Tonglai Liu, Hong-An Tang

    Published 2020-01-01
    “…This paper is concerned with the passivity and synchronization for multiple multi-delayed neural networks (MMDNNs) under impulsive control. To ensure the passivity, input strict passivity, and output strict passivity in MMDNNs, a suitable impulsive controller is designed. …”
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  12. 392

    Residual Neural Network for Direction-of-Arrival Estimation of Multiple Targets in Low SNR by Yanhua Qin

    Published 2024-01-01
    “…Simulation results show that ResNet can achieve significant performance in DOA estimation compared to multiple signal classification, estimation of signal parameters via rotation invariance techniques, convolutional neural network (CNN), and deep complex-valued CNN in low signal-to-noise ratio.…”
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  13. 393

    Deteksi Tingkat Kematangan Buah Pepaya menggunakan Model Convolutional Neural Network by Naufal Putra Sutrisna, Rafifa Addin Sahirah, Khansa Salsabila Sangdiva Laksono, Raditya Atmaja Satria Permadhi, Nadhira Nurannisa, Saqina Salsabila Larasati, Wahayu Widyaning Asmani, Novanto Yudistira

    Published 2024-07-01
    “…Dalam penelitian ini, diperkenalkan pendekatan inovatif dengan menggunakan Convolutional Neural Network (CNN) untuk mengatasi permasalahan tersebut. …”
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  14. 394

    Combination linear lines of position and neural network for mobile station location estimation by Chien-Sheng Chen

    Published 2017-07-01
    “…It is much easier to solve two linear line equations rather than nonlinear circular ones. Artificial neural networks are widely used techniques in various areas due to overcoming the problem of exclusive and nonlinear relationships. …”
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    Multisource DOA Estimation in Impulsive Noise Environments Using Convolutional Neural Networks by Dong Chen, Young Hoon Joo

    Published 2022-01-01
    “…This work proposes an effective high-resolution multisource direction-of-arrival (DOA) estimation method in impulsive noise scenarios based on convolutional neural networks (CNNs). First of all, the array observation matrix is preprocessed and fed into a denoising network to suppress outliers and filter out impulsive noise. …”
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  19. 399

    Reliability Evaluation of Distribution Power Systems Based on Artificial Neural Network Techniques by Mohammoud M. Hadow, Ahmed N. Abd Allah, Sazali P. Abdul karim

    Published 2012-01-01
    “…In order to assess the reliability of distribution systems, more and more researchers are directing their attention to the artificial intelligent method, and several reliability indices have been proposed, such as basic load point indices and system performance indices. Artificial neural network is recently established as a useful and much promising too, applied to variety of power systems engineering. …”
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  20. 400

    Existence of Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Neutral Delays by Ninghua Chen

    Published 2013-01-01
    “…This paper considers the existence of periodic solutions for shunting inhibitory cellular neural networks (SICNNs) with neutral delays. By applying the theory of abstract continuation theorem of k-set contractive operator and some analysis technique, a new result on the existence of periodic solutions is obtained.…”
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