Výsledky vyhledávání - "Bayesian regularization algorithm"

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    Artificial Neural Network Modeling of a CMOS Differential Low-Noise Amplifier Using the Bayesian Regularization Algorithm Autor Subburaman, Bhuvaneshwari, Thangaraj, Vignesh, Balu, Vadivel, Pandyan, Uma Maheswari, Kulkarni, Jayshri

    ISSN: 1424-8220, 1424-8220
    Vydáno: Basel MDPI AG 28.10.2023
    Vydáno v Sensors (Basel, Switzerland) (28.10.2023)
    “…The purpose of this communication is to present the modeling of an Artificial Neural Network (ANN) for a differential Complementary Metal Oxide Semiconductor…”
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    Journal Article
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    Modeling of a high gain two stage pHEMT LNA using ANN with Bayesian regularization algorithm Autor Thangaraj, Vignesh, Elangeswaran, Srie Vidhya Janani, Subburaman, Bhuvaneshwari, Kulkarni, Jayshri

    ISSN: 1022-0038, 1572-8196
    Vydáno: New York Springer US 01.05.2024
    Vydáno v Wireless networks (01.05.2024)
    “…% accuracy is achieved for PatternNet Bayesian regularization algorithm with less number of hidden layers and also it is found that the simulation results are almost similar to the developed ANN…”
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    Machine learning-based Bayesian regularization algorithm for thermal analysis of tri-hybrid nanofluid flow over a stretched sheet Autor Imran, Muhammad, Hussain, Mohib, Jia, Wantao, Shah, Nehad Ali, Ali, Bagh

    ISSN: 0735-1933
    Vydáno: Elsevier Ltd 01.12.2025
    “…Tri-hybrid nanofluids, which consist of three different nanoparticles dispersed in a base fluid, have shown excessive potential as a new generation of thermal…”
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    Artificial neural network optimized by Bayesian-regularization algorithm to solve the convective flow of trihybrid nanofluid with LTNECs and thermal radiation Autor Abbas, Munawar, Medani, Mohamed, Elaissi, Samira, Adnan OTHMAN, Nashwan, Zayani, Hafedh Mahmoud, Shafique, Muhammad, Khan, Ilyas, Ben Khedher, Nidhal

    ISSN: 1687-8507
    Vydáno: Elsevier B.V 01.12.2025
    “…The aim of this study is to examine an artificial intelligence neural network based on the Intelligent Bayesian-Regularization optimizer to evaluate the effect…”
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    Bayesian Regularization Algorithm Based Recurrent Neural Network Method and NSGA-II for the Optimal Design of the Reflector Autor Zhang, Xinyong, Sun, Liwei, Qi, Lingtong

    ISSN: 2075-1702, 2075-1702
    Vydáno: Basel MDPI AG 01.01.2022
    Vydáno v Machines (Basel) (01.01.2022)
    “…The optical-mechanical system of a space camera is composed of several complex components, and the effects of several factors (weight, gravity, modal…”
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    Application of Bayesian Regularization Algorithm for Evaluation of Performance Software Complexity Prediction Model Based on Requirement Autor Wartika, Gaol, Ford Lumban, Nugroho, Ariadi, Abbas, Bahtiar Saleh

    ISSN: 2277-3878, 2277-3878
    Vydáno: 30.09.2019
    “…Model performance evaluation is a method and process of evaluating the model that has been built. The model that will be evaluated is software complexity…”
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    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)
    “…) model trained with two algorithms: Levenberg-Marquardt algorithm and Bayesian Regularization algorithm…”
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    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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    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
    “…‐Bayesian regularization algorithm (BRA) based on ANN for LF is presented. The effect of the number of neurons in hidden layers…”
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    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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    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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    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)
    “… The Bayesian regularization algorithm was selected as the training algorithm of the model. This algorithm, although taking longer time, can better generalize oil, gas and water production data sets…”
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    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)
    “…•Autoregressive feedback structure improves the prediction accuracy of time series.•Bayesian regularization algorithm can improve the robustness of prediction model…”
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    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)
    “…•Bayesian Regularization algorithm showed the best performance.•According to the ANN model, the co-digestion might improve the methane yield up to 183…”
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    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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    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)
    “… Results show that the BP neural network based on Bayesian regularization algorithm has the highest prediction accuracy and can avoid over-fitting phenomenon in the training process of the model…”
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    Photovoltaic Power Forecasting Using Recurrent Neural Network Based On Bayesian Regularization Algorithm Autor Kusuma, Vita, Privadi, Ardvono, Setya Budi, Avian Lukman, Budiharto Putri, Vita Lystianingrum

    Vydáno: IEEE 08.03.2021
    “…) method with Bayesian Regularization Algorithm because it can solve problems regarding prediction, classification, and energy management…”
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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
    “…) protocol using an Artificial Neural Network (ANN) and Bayesian Regularization Algorithm (BRA). LEACH-D improves upon conventional LEACH by ensuring more uniform energy…”
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