Výsledky vyhledávání - "a neural network"

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

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

Pressure prediction and genesis analysis of Huangliu Formation reservoir in DF block of Yinggehai Basin based on neural networks

Autor: Weike NING, Wei JU, Ru XIANG

Publikováno v: Shiyou shiyan dizhi, Vol 46, Iss 5, Pp 1088-1097 (2024)

In the process of oil and gas exploration, development and production, reservoir pressure plays a crucial role in the accumulation, distribution and migration of oil and gas. Abnormally high-pressure reservoirs can lead to drilling accidents such as

Externí odkaz: https://doaj.org/article/97482e2444d14ecfa99a9f49713b524b

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Akademický článek

A Data-Driven Multi-Step Flood Inundation Forecast System

Autor: Felix Schmid, Jorge Leandro

Publikováno v: Forecasting, Vol 6, Iss 3, Pp 761-781 (2024)

Inundation maps that show water depths that occur in the event of a flood are essential for protection. Especially information on timings is crucial. Creating a dynamic inundation map with depth data in temporal resolution is a major challenge and is

Externí odkaz: https://doaj.org/article/00aa6b6d184740c08cb0e45c7969c929

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Akademický článek

PCP-GC-LM: single-sequence-based protein contact prediction using dual graph convolutional neural network and convolutional neural network

Autor: J. Ouyang, Y. Gao, Y. Yang

Publikováno v: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-21 (2024)

Abstract Background Recently, the process of evolution information and the deep learning network has promoted the improvement of protein contact prediction methods. Nevertheless, still remain some bottleneck: (1) One of the bottlenecks is the predict

Externí odkaz: https://doaj.org/article/d74f8d889e004f7fa76791ed77886725

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Akademický článek

A new surrogate method for the neutron kinetics calculation of nuclear reactor core transients

Autor: Xiaoqi Li, Youqi Zheng, Xianan Du, Bowen Xiao

Publikováno v: Nuclear Engineering and Technology, Vol 56, Iss 9, Pp 3571-3584 (2024)

Reactor core transient calculation is very important for the reactor safety analysis, in which the kernel is neutron kinetics calculation by simulating the variation of neutron density or thermal power over time. Compared with the point kinetics meth

Externí odkaz: https://doaj.org/article/03bd472632a14ad6bf45225a52241106

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