Výsledky vyhledávání - "Bayesian regularization algorithm"
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Prediction of equibiaxial tensile properties of rubber based on machine learning
ISSN: 0032-3861Vydáno: Elsevier Ltd 10.11.2025Vydáno 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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Systematic evaluation of pulsed laser parameters effect on temperature distribution in dissimilar laser welding: A numerical simulation and artificial neural network
ISSN: 0030-3992, 1879-2545Vydáno: Elsevier Ltd 01.08.2023Vydáno 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
ISSN: 2050-7038, 2050-7038Vydáno: Hoboken John Wiley & Sons, Inc 01.09.2021Vydáno v International transactions on electrical energy systems (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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AI-Based Technique to Enhance Transient Response and Resiliency of Power Electronic Dominated Grids via Grid-Following Inverters
ISSN: 0278-0046, 1557-9948Vydáno: New York IEEE 01.03.2024Vydáno v IEEE transactions on industrial electronics (1982) (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
ISSN: 0013-4686, 1873-3859Vydáno: Oxford Elsevier Ltd 10.10.2021Vydáno 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
ISSN: 1876-3804, 1876-3804Vydáno: Elsevier B.V 01.04.2020Vydáno 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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Gas path parameter prediction of aero-engine based on an autoregressive discrete convolution sum process neural network
ISSN: 0960-0779, 1873-2887Vydáno: Elsevier Ltd 01.01.2022Vydáno 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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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
ISSN: 0016-2361, 1873-7153Vydáno: Kidlington Elsevier Ltd 15.12.2021Vydáno 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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Backpropagation artificial neural network-based maximum power point tracking controller with image encryption inspired solar photovoltaic array reconfiguration
ISSN: 0952-1976Vydáno: Elsevier Ltd 01.10.2024Vydáno v Engineering applications of artificial intelligence (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
ISSN: 1432-7643, 1433-7479Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2020Vydáno 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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Computational intelligence of Bayesian regularization backpropagation neural networks to study the thermo-bioconvection flow of hybrid-nanofluid with thermal Radiation: Biotechnological perspectives
ISSN: 1687-8507Vydáno: Elsevier B.V 01.09.2025Vydáno v Journal of Radiation Research and Applied Sciences (01.09.2025)“…This study aims to develop a deep neural network that utilizes Bayesian regularization to investigate the performance of gyrotactic and oxytactic microbes in…”
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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
ISSN: 2687-4539, 2687-4539Vydáno: Akif AKGUL 30.06.2024Vydáno 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
ISSN: 1546-2226, 1546-2218, 1546-2226Vydáno: Henderson Tech Science Press 2025Vydáno v Computers, materials & continua (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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Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and Bayesian Regularization Algorithms
ISSN: 1996-1944, 1996-1944Vydáno: Basel MDPI AG 01.06.2021Vydáno 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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Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India
ISSN: 0920-4741, 1573-1650Vydáno: Dordrecht Dordrecht : Springer Netherlands 01.07.2010Vydáno 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
ISSN: 2307-4205Vydáno: Penza State University Publishing House 01.02.2022Vydáno v Надежность и качество сложных систем (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
ISSN: 2227-9717, 2227-9717Vydáno: Basel MDPI AG 01.07.2022Vydáno 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
ISSN: 2305-7068Vydáno: Shijiazhuang 2020Vydáno v Journal of Groundwater Science and Engineering (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
ISSN: 2079-3197, 2079-3197Vydáno: Basel MDPI AG 02.02.2019Vydáno 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
ISSN: 1008-9209, 2097-5155Vydáno: Zhejiang University Press 01.03.2015Vydáno v Zhejiang daxue xue bao. Journal of Zhejiang University. Agriculture and life sciences. Nong ye yu sheng ming ke xue ban (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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