Suchergebnisse - "bayesian regularization algorithm"

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

“… 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 von Sun, Chuan, Dehkordi, Mohammad Hossein Razavi, Kholoud, Mohammad Javad, Azimy, Hamidreza, Li, Z.

“… •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 von Waseem, Muhammad, Lin, Zhenzhi, Liu, Shengyuan, Jinai, Zhang, Rizwan, Mian, Sajjad, Intisar Ali

“… 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 von Hosseinzadehtaher, Mohsen, Zare, Alireza, Khan, Ahmad, Umar, Muhammad F., D'silva, Silvanus, Shadmand, Mohammad B.

“… 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 von Cui, Zhiquan, Wang, Chunhui, Gao, Xuhong, Tian, Shushan

“… •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 von NEGASH, Berihun Mamo, YAW, Atta Dennis

“… 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 von Cui, Zhiquan, Yan, Zhiqi, Zhao, Minghang, Zhong, Shisheng

“… •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 von Özarslan, Saliha, Abut, Serdar, Atelge, M.R., Kaya, M., Unalan, S.

“… [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 von Kumaraswamy, Madavena, Naik, Kanasottu Anil

“… 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 von Cao, Jiasheng, Wang, Jinghan

“… 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 von Abbas, Munawar, Medani, Mohamed, Rajab, Adnan Burhan, Elaissi, Samira, Zayani, Hafedh Mahmoud, Faiz, Zeshan, Khan, Ilyas, Ben Khedher, Nidhal

“… 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 von Bouzid, Rania, Gritli, Hassène, Narayan, Jyotindra

“… 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 von Qamar, Muhammad Salman, Munir, Muhammad Fahad

“… 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 von Zhang, Xinyong, Sun, Liwei

“… 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 von Mohanty, Sheelabhadra, Jha, Madan K, Kumar, Ashwani, Sudheer, K. P

“… 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 von Godunov, A.I., Shishkov, S.V., Balanyan, S.T., Al' Saftli, F.Kh

“… 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 von Li, Dongfeng, Fan, Heng, Wang, Rui, Yang, Shangyu, Zhao, Yating, Yan, Xiangzhen

“… 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 von Abdullah Al Jami, Meher Uddin Himel, Hasan, Khairul, Basak, Shilpy Rani, Ayesha Ferdous Mita

“… 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 von Ahmad, Hafiz Waqar, Hwang, Jeong Ho, Javed, Kamran, Chaudry, Umer Masood, Bae, Dong Ho

“… 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 von Tu Jie, Liu Qijing, Wei Jun, Hu Liang

“… 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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