Výsledky vyhledávání - "and neural network"

Akademický článek

Turbofan engine health status prediction with neural network pattern recognition and automated feature engineering

Autor: Szrama, Sławomir

Publikováno v: Aircraft Engineering and Aerospace Technology, 2024, Vol. 96, Issue 11, pp. 19-26.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/AEAT-04-2024-0111

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Akademický článek

A novel neural network architecture and cross-model transfer learning for multi-task autonomous driving

Autor: Li, Youwei, Qu, Jian

Publikováno v: Data Technologies and Applications, 2024, Vol. 58, Issue 5, pp. 693-717.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/DTA-08-2022-0307

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Akademický článek

Designing the sinc neural networks to solve the fractional optimal control problem

Autor: R. Heydari Dastjerdi, G. Ahmadi

Publikováno v: Iranian Journal of Numerical Analysis and Optimization, Vol 14, Iss Issue 4, Pp 1016-1036 (2024)

Sinc numerical methods are essential approaches for solving nonlinear problems. In this work, based on this method, the sinc neural networks (SNNs) are designed and applied to solve the fractional optimal control problem (FOCP) in the sense of the Ri

Externí odkaz: https://doaj.org/article/5f8d8ee3854540f2b93ce47bfcd25ffb

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Akademický článek

Risk classification assessment and early warning of large deformation of soft rock in tunnels based on CNN-LSTM model

Autor: Xianmeng Zhang, Wang Minghao, Dan Feng, Wang Jingchun

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Abstract Tunnels in the Western Plateau region of China often face numerous problems of high ground stress, as well as highly fractured and weak rock masses in deep sections of the tunnel, which results in an increased risk of large soft rock deforma

Externí odkaz: https://doaj.org/article/7c3795773e0640e2864cc8d42ae34fad

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Akademický článek

Comparison of Deep Learning approaches in classification of lacial landforms

Autor: Paweł Nadachowski, Zbigniew Łubniewski, Karolina Trzcińska, Jarosław Tęgowski

Publikováno v: International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 4, Pp 823-829 (2024)

Glacial landforms, created by the continuous movements of glaciers over millennia, are crucial topics in geomorphological research. Their systematic analysis affords invaluable insights into past climatic oscillations and augments understanding of lo

Externí odkaz: https://doaj.org/article/2db0a4c6072149a79df2902d5a5093c6

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Akademický článek

Establishment of a Predictive Model for the Quality Assessment of Chilled Meat Using a Moth-Flame Optimization BP Neural Network

Autor: Li WANG, Zikang YAN, Jin DU, Yuanliang WANG

Publikováno v: Shipin gongye ke-ji, Vol 45, Iss 21, Pp 310-321 (2024)

To quickly and accurately evaluate and predict the quality and safety of food products, in this study, storage temperatures (0, 4 and 25 ℃) were used to investigate the effects on the total number of colonies, TVB-N, pH, moisture content, color, an

Externí odkaz: https://doaj.org/article/f5ae6ae74c35486185434a90ee4a622b

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Akademický článek

COMPARATIVE ANALYSIS OF THE EFFECTIVENESS OF NEURAL NETWORKS AT DIFFERENT VALUES OF THE SNR RATIO

Autor: Aigul Kulakayeva, Valery Tikhvinskiy, Aigul Nurlankyzy, Timur Namazbayev

Publikováno v: Scientific Journal of Astana IT University, Pp 18-30 (2024)

This work is devoted to a comparative analysis of the effectiveness of neural networks, CNN and RNN, at different SNR ratios. The research conducted within the framework of this work showed that CNN convolutional neural networks demonstrate higher ef

Externí odkaz: https://doaj.org/article/2171f4f1cf624c3a9a9af69d75ab4f95

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