Results 11 to 20 of about 181,909 (270)
Prediction of coal seam water conduction fault zone height based on LC-SSA-BP neural network model
Meikuang Anquan, 2023 Aiming at the problems of low prediction accuracy for the height of water-conducting fracture zone and difficult parameters optimization, we propose a guide height prediction method based on improved sparrow search algorithm SSA optimized BP （LC-SSA-BP ...
ZHAO Dekang, HAN Bing, FENG Guorui, SHI Jiabo, REN Henghui, WANG Pengwei, REN Peiyuan
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Prediction of Thermo-Physical Properties of TiO2-Al2O3/Water Nanoparticles by Using Artificial Neural Network [PDF]
, 2020 In this paper, an artificial neural network is implemented for the sake of predicting the thermal conductivity ratio of TiO2-Al2O3/water nanofluid. TiO2-Al2O3/water in the role of an innovative type of nanofluid was synthesized by the sol–gel method. The
Ahmadi, Mohammad Hossein +6 more
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Chemical and biological reactions of solidification of peat using ordinary portland cement (OPC) and coal ashes [PDF]
, 2021 Construction over peat area have often posed a challenge to geotechnical engineers. After decades of study on peat stabilisation techniques, there are still no absolute formulation or guideline that have been established to handle this issue.
Abdul Rahman, Junita
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Shock and Vibration, 2022 Combined with wavelet threshold denoising and Ensemble Empirical Mode Decomposition (EEMD) decomposition, an identification method based on Manta Ray Foraging Optimization-BP (MRFO-BP) neural network for vibration signals of residual pressure utilization
Qingjiao Cao +4 more
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A functional link neural network with modified cuckoo search for prediction tasks [PDF]
, 2011 The impact of temperature, relative humidity and ozone changes bring a sharp warming climate. These changes can cause extreme consequences such as floods, hurricanes, heat waves and droughts.
Abasa, Khairul Hamimah +5 more
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International Transactions on Electrical Energy Systems, 2023 Wind power generation is the major approach to wind energy utilization. However, due to the volatility, intermittent, and controllability of wind power, it is difficult to control and scheduling of wind power, which brings challenges to the grid ...
Yihan Zhang +4 more
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Urban cold-chain logistics demand predicting model based on improved neural network model
International Journal of Metrology and Quality Engineering, 2020 With the popularity of the Internet and mobile terminals, the development of e-commerce has become hotter. Therefore, e-commerce research starts to focus on the statistics and prediction of the cargo volume of logistics. This study briefly introduced the
Chen Ying, Wu Qiuming, Shao Lijin
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Neural networks based recognition of 3D freeform surface from 2D sketch [PDF]
, 2005 In this paper, the Back Propagation (BP) network and Radial Basis Function (RBF) neural network are employed to recognize and reconstruct 3D freeform surface from 2D freehand sketch.
Qin, SF, Sun, G, Wright, DK
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Effect analysis of coal seam water infusion based on genetic algorithm-BP neural network
Gong-kuang zidonghua, 2016 In order to improve prediction accuracy of coal seam water infusion effect by using BP neural network, genetic algorithm was used to optimize weight value and threshold value of BP neural network.
LIU Jinwei, XIE Xionggang, FANG Jing
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Remote Sensing, 2021 With the rapid development and gradual perfection of GNSS in recent years, improving the real-time service performance of GNSS has become a research hotspot. In GNSS single-point positioning, broadcast ephemeris is used to provide a space–time reference.
Hanlin Chen +5 more
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