Výsledky vyhledávání - "Bayesian regularization algorithm"

  1. 1

    Prediction of equibiaxial tensile properties of rubber based on machine learning Autor Song, Minhan, Wang, Wei, Sun, Chong

    ISSN: 0032-3861
    Vydáno: Elsevier Ltd 10.11.2025
    Vydáno v Polymer (Guilford) (10.11.2025)
    “…Equibiaxial tensile test data are essential for determining the parameters of rubber constitutive models. However, the equibiaxial tensile testing process is…”
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  2. 2

    Systematic evaluation of pulsed laser parameters effect on temperature distribution in dissimilar laser welding: A numerical simulation and artificial neural network Autor Sun, Chuan, Dehkordi, Mohammad Hossein Razavi, Kholoud, Mohammad Javad, Azimy, Hamidreza, Li, Z.

    ISSN: 0030-3992, 1879-2545
    Vydáno: Elsevier Ltd 01.08.2023
    Vydáno v Optics and laser technology (01.08.2023)
    “…•Effect of pulse width on temperature distribution in dissimilar laser welding was investigated.•Marangoni stress and buoyancy force are the most important…”
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  3. 3

    Optimal BRA based electric demand prediction strategy considering instance‐based learning of the forecast factors Autor Waseem, Muhammad, Lin, Zhenzhi, Liu, Shengyuan, Jinai, Zhang, Rizwan, Mian, Sajjad, Intisar Ali

    ISSN: 2050-7038, 2050-7038
    Vydáno: Hoboken John Wiley & Sons, Inc 01.09.2021
    “…Summary With the grid's evolution, the end‐users demand becomes more vital for demand side management (DSM). Accurate load forecasting (LF) is critical for…”
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  4. 4

    AI-Based Technique to Enhance Transient Response and Resiliency of Power Electronic Dominated Grids via Grid-Following Inverters Autor Hosseinzadehtaher, Mohsen, Zare, Alireza, Khan, Ahmad, Umar, Muhammad F., D'silva, Silvanus, Shadmand, Mohammad B.

    ISSN: 0278-0046, 1557-9948
    Vydáno: New York IEEE 01.03.2024
    “…This article presents a frequency restoration method to enhance power electronic dominated grid (PEDG) resiliency and transient response via redefining grid…”
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  5. 5

    State of health estimation for lithium-ion battery based on the coupling-loop nonlinear autoregressive with exogenous inputs neural network Autor Cui, Zhiquan, Wang, Chunhui, Gao, Xuhong, Tian, Shushan

    ISSN: 0013-4686, 1873-3859
    Vydáno: Oxford Elsevier Ltd 10.10.2021
    Vydáno v Electrochimica acta (10.10.2021)
    “…•Coupling loop NARX neural network has better time series prediction accuracy.•Principal component feature extraction eliminates redundant variables…”
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  6. 6

    Artificial neural network based production forecasting for a hydrocarbon reservoir under water injection Autor NEGASH, Berihun Mamo, YAW, Atta Dennis

    ISSN: 1876-3804, 1876-3804
    Vydáno: Elsevier B.V 01.04.2020
    Vydáno v Petroleum exploration and development (01.04.2020)
    “…As the conventional prediction methods for production of waterflooding reservoirs have some drawbacks, a production forecasting model based on artificial…”
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  7. 7

    Gas path parameter prediction of aero-engine based on an autoregressive discrete convolution sum process neural network Autor Cui, Zhiquan, Yan, Zhiqi, Zhao, Minghang, Zhong, Shisheng

    ISSN: 0960-0779, 1873-2887
    Vydáno: Elsevier Ltd 01.01.2022
    Vydáno v Chaos, solitons and fractals (01.01.2022)
    “…•Coupling threshold function can improve the de-noising effect of time series data.•The process neural network has better approximation ability to…”
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  8. 8

    Modeling and simulation of co-digestion performance with artificial neural network for prediction of methane production from tea factory waste with co-substrate of spent tea waste Autor Özarslan, Saliha, Abut, Serdar, Atelge, M.R., Kaya, M., Unalan, S.

    ISSN: 0016-2361, 1873-7153
    Vydáno: Kidlington Elsevier Ltd 15.12.2021
    Vydáno v Fuel (Guildford) (15.12.2021)
    “…[Display omitted] •ANN model was used to simulate for prediction and maximization of ACd.•Bayesian Regularization algorithm showed the best…”
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  9. 9

    Backpropagation artificial neural network-based maximum power point tracking controller with image encryption inspired solar photovoltaic array reconfiguration Autor Kumaraswamy, Madavena, Naik, Kanasottu Anil

    ISSN: 0952-1976
    Vydáno: Elsevier Ltd 01.10.2024
    “…The enhancement of photovoltaic (PV) arrays through reconfiguration presents a promising avenue for increasing the global maximum power (GMP) and improving…”
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  10. 10

    Exploration of stock index change prediction model based on the combination of principal component analysis and artificial neural network Autor Cao, Jiasheng, Wang, Jinghan

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2020
    Vydáno v Soft computing (Berlin, Germany) (01.06.2020)
    “…In order to establish an accurate effective stock forecasting model, the principal component analysis (PCA) was first used to analyze the main financial index…”
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    Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study Autor Bouzid, Rania, Gritli, Hassène, Narayan, Jyotindra

    ISSN: 2687-4539, 2687-4539
    Vydáno: Akif AKGUL 30.06.2024
    Vydáno v Chaos theory and applications (30.06.2024)
    “…Inverse kinematics is a significant challenge in robotic manipulators, and finding practical solutions plays a crucial role in achieving precise control. This…”
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    A Hybrid Framework Integrating Deterministic Clustering, Neural Networks, and Energy-Aware Routing for Enhanced Efficiency and Longevity in Wireless Sensor Network Autor Qamar, Muhammad Salman, Munir, Muhammad Fahad

    ISSN: 1546-2226, 1546-2218, 1546-2226
    Vydáno: Henderson Tech Science Press 2025
    “…Wireless Sensor Networks (WSNs) have emerged as crucial tools for real-time environmental monitoring through distributed sensor nodes (SNs). However, the…”
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  14. 14

    Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and Bayesian Regularization Algorithms Autor Zhang, Xinyong, Sun, Liwei

    ISSN: 1996-1944, 1996-1944
    Vydáno: Basel MDPI AG 01.06.2021
    Vydáno v Materials (01.06.2021)
    “…Fit of the highly nonlinear functional relationship between input variables and output response is important and challenging for the optical machine structure…”
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  15. 15

    Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India Autor Mohanty, Sheelabhadra, Jha, Madan K, Kumar, Ashwani, Sudheer, K. P

    ISSN: 0920-4741, 1573-1650
    Vydáno: Dordrecht Dordrecht : Springer Netherlands 01.07.2010
    Vydáno v Water resources management (01.07.2010)
    “…Forecasting of groundwater levels is very useful for planning integrated management of groundwater and surface water resources in a basin. In the present…”
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    DEVELOPMENT OF AN ALGORITHM FOR OPTIMIZING NEURAL NETWORK TRAINING WHEN DETERMINING THE NUMBER OF NEURONS IN A HIDDEN LAYER IN ORDER TO INCREASE THE PROBABILITY OF RECOGNIZING IMAGES OF A GROUND TARGET Autor Godunov, A.I., Shishkov, S.V., Balanyan, S.T., Al' Saftli, F.Kh

    ISSN: 2307-4205
    Vydáno: Penza State University Publishing House 01.02.2022
    “…Background. High accuracy of recognition of typical ground objects by optoelectronic tracking systems can be achieved by optimizing the parameters of an…”
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    Prediction of Casing Collapse Strength Based on Bayesian Neural Network Autor Li, Dongfeng, Fan, Heng, Wang, Rui, Yang, Shangyu, Zhao, Yating, Yan, Xiangzhen

    ISSN: 2227-9717, 2227-9717
    Vydáno: Basel MDPI AG 01.07.2022
    Vydáno v Processes (01.07.2022)
    “…With the application of complex fracturing and other complex technologies, external extrusion has become the main cause of casing damage, which makes non-API…”
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    NARX neural network approach for the monthly prediction of groundwater levels in Sylhet Sadar, Bangladesh Autor Abdullah Al Jami, Meher Uddin Himel, Hasan, Khairul, Basak, Shilpy Rani, Ayesha Ferdous Mita

    ISSN: 2305-7068
    Vydáno: Shijiazhuang 2020
    “…Groundwater is important for managing the water supply in agricultural countries like Bangladesh. Therefore, the ability to predict the changes of groundwater…”
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    Probabilistic Fatigue Life Prediction of Dissimilar Material Weld Using Accelerated Life Method and Neural Network Approach Autor Ahmad, Hafiz Waqar, Hwang, Jeong Ho, Javed, Kamran, Chaudry, Umer Masood, Bae, Dong Ho

    ISSN: 2079-3197, 2079-3197
    Vydáno: Basel MDPI AG 02.02.2019
    Vydáno v Computation (02.02.2019)
    “…Welding alloy 617 with other metals and alloys has been receiving significant attention in the last few years. It is considered to be the benchmark for the…”
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    Sap flow simulation of Cunninghamia lanceolata in degraded red soil region based on back propagation neural network Autor Tu Jie, Liu Qijing, Wei Jun, Hu Liang

    ISSN: 1008-9209, 2097-5155
    Vydáno: Zhejiang University Press 01.03.2015
    “…Cunninghamia lanceolata is commonly considered to be one of the most important tree species for forest restoration and reconstruction in subtropical area of…”
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