Showing 241 - 260 results of 5,752 for search '"neural networks"', query time: 0.09s Refine Results
  1. 241

    Popular Song Composition Based on Deep Learning and Neural Network by Jun Kuang, Tingfeng Yang

    Published 2021-01-01
    “…This article combines deep learning to extract note features from the demonstration audio and builds a neural network model to complete the composition of popular music. …”
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    Article
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    Geometric Regularized Hopfield Neural Network for Medical Image Enhancement by Fayadh Alenezi, K. C. Santosh

    Published 2021-01-01
    “…One of the major shortcomings of Hopfield neural network (HNN) is that the network may not always converge to a fixed point. …”
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    Article
  4. 244

    Pipelined Training with Stale Weights in Deep Convolutional Neural Networks by Lifu Zhang, Tarek S. Abdelrahman

    Published 2021-01-01
    “…The growth in size and complexity of convolutional neural networks (CNNs) is forcing the partitioning of a network across multiple accelerators during training and pipelining of backpropagation computations over these accelerators. …”
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    Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks by Mehdi Nikoo, Farshid Torabian Moghadam, Łukasz Sadowski

    Published 2015-01-01
    “…Compressive strength of concrete has been predicted using evolutionary artificial neural networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary search procedures, such as genetic algorithms (GA). …”
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    An Adaboost-Backpropagation Neural Network for Automated Image Sentiment Classification by Jianfang Cao, Junjie Chen, Haifang Li

    Published 2014-01-01
    “…We proposed an emotional semantic classification method for images based on the Adaboost-backpropagation (BP) neural network, using natural scenery images as examples. …”
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    On the Expected Discounted Penalty Function Using Physics-Informed Neural Network by Jiayu Wang, Houchun Wang

    Published 2023-01-01
    “…In order to solve the integrodifferential equation, we use a physics-informed neural network (PINN) for the first time in risk theory and obtain the numerical solutions of the expected discounted penalty function in some special cases of the penalty at ruin.…”
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  13. 253

    Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection by Iftikhar Ahmad, Muhammad Hamid, Suhail Yousaf, Syed Tanveer Shah, Muhammad Ovais Ahmad

    Published 2020-01-01
    “…In this context, our research work focuses on classification and identification of tomato leaf diseases using convolutional neural network (CNN) techniques. We consider four CNN architectures, namely, VGG-16, VGG-19, ResNet, and Inception V3, and use feature extraction and parameter-tuning to identify and classify tomato leaf diseases. …”
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    Wi-Fi security evaluation model based on BP neural network by Hai-yan KANG, Han YAN, Hao-ran HUANG, Xuan1 SUN

    Published 2016-10-01
    “…A Wi-Fi security evaluation model was proposed based on BP neural network.Firstly a large number of Wi-Fi hotspots was analyzed,safety information sources about wireless hotspots were selected.Secondly,a model of BP neural network was constructed,the weights were adjusted,and the evaluation system for Wi-Fi safety was formed,which was higher credibility.Finally,on the Android flatform the application based on above theory was designed.A lot of experi-ments show the model is able to scan and evaluate the wireless hotspot around user.It can also provide the disconnect function on unsafe wireless hotspot.…”
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    Article
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    Pattern memory cannot be completely and truly realized in deep neural networks by Tingting Li, Ruimin Lyu, Zhenping Xie

    Published 2024-12-01
    “…Abstract The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution. …”
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    An Exponential Varying-Parameter Neural Network for Repetitive Tracking of Mobile Manipulators by Ying Kong, Qingqing Tang, Jingsheng Lei, Ruiyang Zhang

    Published 2020-01-01
    “…A novel exponential varying-parameter neural network (EVPNN) is presented and investigated to solve the inverse redundancy scheme of the mobile manipulators via quadratic programming (QP). …”
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    Article