Showing 461 - 480 results of 3,911 for search '"neural network"', query time: 0.09s Refine Results
  1. 461

    Parallel Bookkeeping Path of Accounting in Government Accounting System Based on Deep Neural Network by Qing Li

    Published 2022-01-01
    “…The neural network is of great help to financial accounting. …”
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    Article
  2. 462

    Stochastic Stability of Neural Networks with Both Markovian Jump Parameters and Continuously Distributed Delays by Quanxin Zhu, Jinde Cao

    Published 2009-01-01
    “…The problem of stochastic stability is investigated for a class of neural networks with both Markovian jump parameters and continuously distributed delays. …”
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    Article
  3. 463

    Analysis and Prediction of Body Test Results Based on Improved Backpropagation Neural Network Algorithm by Zhanju Ma, Yao Wang

    Published 2022-01-01
    “…Using the relevant data of college students’ physical fitness test and sports performance as the object of research, a BP neural network model is developed to predict performance. …”
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    Article
  4. 464

    Preparing Schrödinger Cat States in a Microwave Cavity Using a Neural Network by Hector Hutin, Pavlo Bilous, Chengzhi Ye, Sepideh Abdollahi, Loris Cros, Tom Dvir, Tirth Shah, Yonatan Cohen, Audrey Bienfait, Florian Marquardt, Benjamin Huard

    Published 2025-01-01
    “…We show that it is possible to teach a neural network to output optimized control pulses for a whole family of quantum states. …”
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    Article
  5. 465

    Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines by Santosh Kumar Nanda, Debi Prasad Tripathy

    Published 2011-01-01
    “…Functional link-based neural network models were applied to predict opencast mining machineries noise. …”
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    Article
  6. 466

    Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks by Anping Zha, Jianjun Tu

    Published 2022-01-01
    “…Therefore, according to the availability of realistic data, this paper establishes a deep neural network prediction model for the collaborative development of ports and uses various port logistics indicators to predict the economic development trend, so as to realize a nonlinear mapping relationship between the level of port economic development and the side of port logistics demand. …”
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    Article
  7. 467

    Evaluation Technique of Chloride Penetration Using Apparent Diffusion Coefficient and Neural Network Algorithm by Yun-Yong Kim, Byung-Jae Lee, Seung-Jun Kwon

    Published 2014-01-01
    “…This paper proposes a simple analysis technique for chloride behavior using apparent diffusion coefficient from neural network algorithm with time-dependent diffusion phenomena. …”
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  8. 468
  9. 469

    The Application of Convolutional Neural Network Combined with Fuzzy Algorithm in Colorectal Endoscopy for Tumor Assessment by Te-Jen Su, Feng-Chun Lee, Cheuk-Kwan Sun, Fu-Xiang Ke, Shih-Ming Wang, Ming-Chih Huang

    Published 2022-01-01
    “…In this study, the convolutional neural network was used to assess the risk of tumor in the colon by colonoscopy. …”
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    Article
  10. 470

    Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment by An Zichen, Li Fan

    Published 2025-03-01
    Subjects: “…|breast cancer|ultrasonography|computer neural networks…”
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    Article
  11. 471

    Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market by Fang Wang, Sai Tang, Menggang Li

    Published 2021-01-01
    “…The results were compared with predictions obtained from the other two models which are basic BP neural network and the Elman neural network. Some experiments showed that the FM-Elman model outperforms others through different accuracy measures. …”
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    Article
  12. 472

    Constant Force PID Control for Robotic Manipulator Based on Fuzzy Neural Network Algorithm by Zhu Dachang, Du Baolin, Zhu Puchen, Chen Shouyan

    Published 2020-01-01
    “…In order to overcome this issue, a PID controller based on fuzzy neural network algorithm is developed in this paper for tracking the trajectory and contact constant force simultaneously. …”
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    Article
  13. 473

    Collaborative Governance of Rural Relative Poverty under Blockchain and Back Propagation Neural Network by Xin-Jie Tian, Zhi-Jun Ge

    Published 2022-01-01
    “…It aims at exploring the effect of coordinated relative poverty governance in rural areas based on blockchain and back propagation (BP) neural network, so that the living standard of rural areas can be significantly improved. …”
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    Article
  14. 474

    Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10) by Emmanuel Gbenga Dada, David Opeoluwa Oyewola, Stephen Bassi Joseph, Onyeka Emebo, Olugbenga Oluseun Oluwagbemi

    Published 2023-01-01
    “…The motivation for applying the convolutional neural network-10 (CNN-10) model for facial expression recognition stems from its ability to detect spatial features, manage translation invariance, understand expressive feature representations, gather global context, and achieve scalability, adaptability, and interoperability with transfer learning methods. …”
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  15. 475
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  17. 477

    Lie Detection Technology of Bimodal Feature Fusion Based on Domain Adversarial Neural Networks by Yan Zhou, Feng Bu

    Published 2024-01-01
    “…To solve this problem, we propose a lie detection technique based on a domain adversarial neural network employing a dual-mode state feature. First, a deep learning neural network was used as a feature extractor to isolate speech and facial expression features exhibited by the liars. …”
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  20. 480

    Weigh-in-Motion Method Based on Modular Sensor System and Axle Recognition with Neural Networks by Xiaoyong Liu, Zhiyong Yang, Bowen Shi

    Published 2025-01-01
    “…This paper proposes a new modular system based on multi-sensor fusion and neural network axle recognition to address issues concerning the high failure rate of axle recognition devices and low weighing accuracy. …”
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    Article