Search Results - Bayesian regularization backpropagation algorithm

Prediction of GPS-TEC on Mw>5 Earthquake Days Using Bayesian Regularization Backpropagation Algorithm by Karatay, Secil, Gul, Saide Eda

“… In this study, a Feed Forward Backpropagation Artificial Neural Network Bayesian Regularization algorithm is applied to detect the seismic disturbances and anomalies by predicting GPS-TEC on earth…”
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5 Earthquake Days Using Bayesian Regularization Backpropagation Algorithm by Karatay, Secil, Saide Eda Gul

“… In this study, a feed-forward back propagation artificial neural network (ANN) Bayesian regularization (BR…”
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Comparative Study of Advance Smart Strain Approximation Method Using Levenberg-Marquardt and Bayesian Regularization Backpropagation Algorithm by Wali, Ashwarya Sheel, Tyagi, Amit

“…This study aimed to develop a smart model prediction of strain calculation using fiber optic sensors and neural network. Optical parameters are obtained…”
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Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation optimization by Sharma, Bhupendra K., Sharma, Parikshit, Mishra, Nidhish K., Noeiaghdam, Samad, Fernandez-Gamiz, Unai

“…This study aims to analyze a Bayesian regularization backpropagation algorithm for micropolar ternary hybrid nanofluid flow over curved surfaces with homogeneous and heterogeneous reactions, Joule…”
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Effects of Hall Current and Thermal Radiation on the Time-Dependent Swirling Flow of Hybrid Nanofluids over a Disk Surface: A Bayesian Regularization Artificial Neural Network Approach by Nazir, Faisal, Bhowmike, Nirman, Zahid, Muhammad, Shoaib, Sultan, Amin, Yasar, Shahid, Saleem

“…, thermophoresis, Brownian motion, a heat source/sink, and thermal radiation in a time-dependent hybrid nanofluid flow over a disk for a Bayesian regularization ANN backpropagation algorithm…”
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Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and Bayesian Regularization Algorithms by Zhang, Xinyong, Sun, Liwei

“… The backpropagation neural network method based on particle swarm optimization and Bayesian regularization algorithms (called BMPB…”
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Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling by Hussain, Saddam, Bedon, Chiara, Kumar, Gaurav, Ahmed, Zaheer

“…The lateral–torsional buckling (LTB) performance assessment of laminated glass (LG) beams is a remarkably critical issue because—among others—it can involve…”
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Predictive modeling of cutting forces in laser-assisted turning of AA7178-nano SiC composite using different backpropagation neural networks by Bharat, Nikhil, Bose, P.S.C.

“… To predict cutting forces, three backpropagation algorithms—Bayesian Regularization (BR), Levenberg–Marquardt (LM), and Scaled Conjugate Gradient…”
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ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis by Rad, Ali Bahrami, Eftestol, Trygve, Engan, Kjersti, Irusta, Unai, Kvaloy, Jan Terje, Kramer-Johansen, Jo, Wik, Lars, Katsaggelos, Aggelos K.

“… Our objective was to develop ECG-based algorithms for the retrospective and automatic classification of resuscitation cardiac rhythms. Methods…”
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Comparison of different supervised learning algorithms for position analysis of the slider-crank mechanism by Denizhan, Onur

“… Recently, artificial neural network algorithms have been applied to various design applications across different research fields, and mechanism design is no exception…”
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Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India by Mohanty, Sheelabhadra, Jha, Madan K, Kumar, Ashwani, Sudheer, K. P

“…) algorithm, Levenberg-Marquardt (LM) algorithm and Bayesian regularization (BR) algorithm were employed…”
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Backpropagation artificial neural network-based maximum power point tracking controller with image encryption inspired solar photovoltaic array reconfiguration by 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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A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave by Zhu, Senlin, Di Nunno, Fabio, Ptak, Mariusz, Sojka, Mariusz, Granata, Francesco

“…) neural network, the Bayesian Optimization (BO) algorithm for optimizing the number of NARX hidden nodes and lagged input/target values, and the Bayesian Regularization (BR…”
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An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers by Zhu, Senlin, Di Nunno, Fabio, Sun, Jiang, Sojka, Mariusz, Ptak, Mariusz, Granata, Francesco

“…) to enhance predictive capabilities regarding thermal dynamics and river heatwaves. The optimized NARX-based model included the Bayesian Optimization (BO…”
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Backpropagation Neural Network-Based Machine Learning Model for Prediction of Soil Friction Angle by Nguyen, Thuy-Anh, Pham, Binh Thai, Ly, Hai-Bang

“… In this study, the Bayesian regularization backpropagation algorithm is built to predict the internal friction angle of the soil based on 145 data collected from experiments…”
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Human Emotion Identification Using F eed Forward Neural Network with Backpropagation and Bayesian Regularized Backpropagation Algorithm by Sofia, R., Sivakumar, Dr.D.

“… Here two types of algorithm viz. used in Feed Forward neural network(FFNN), ie., Backpropagation(BP) Algorithm and Bayesian Regularization Algorithm…”
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Prediction of daily river water temperatures using an optimized model based on NARX networks by Sun, Jiang, Di Nunno, Fabio, Sojka, Mariusz, Ptak, Mariusz, Luo, You, Xu, Renyi, Xu, Jing, Luo, Yi, Zhu, Senlin, Granata, Francesco

“…) neural network, was coupled with Bayesian Optimization…”
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A Study on the Prediction of Compressive Strength of Self-Compacting Recycled Aggregate Concrete Utilizing Novel Computational Approaches by de-Prado-Gil, Jesús, Palencia, Covadonga, Jagadesh, P., Martínez-García, Rebeca

“…—Levenberg–Marquardt (LM), Bayesian regularization (BR), and Scaled Conjugate Gradient Backpropagation (SCGB…”
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Forecasting the multicomponent adsorption of nimesulide and paracetamol through artificial neural network by Pauletto, P.S., Lütke, S.F., Dotto, G.L., Salau, N.P.G.

“…•The optimal adsorption capacity was established at 150 μm, 0.5 g L−1 and 300 min.•Optimal ANN trained by the Bayesian regularization backpropagation algorithm…”
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Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models by Khairudin, Khairunnisa, Ul-Saufie, Ahmad Zia, Senin, Syahrul Fithry, Zainudin, Zaki, Rashid, Ammar Mohd, Abu Bakar, Noor Fitrah, Anas Abd Wahid, Muhammad Zakwan, Azha, Syahida Farhan, Abd-Wahab, Firdaus, Wang, Lei, Sahar, Farisha Nerina, Osman, Mohamed Syazwan

“… Among the mathematical modelling methods employed are artificial neural networks with feed-forward backpropagation algorithms and radial basis functions…”
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