Search Results - Levenberg-Marquardt algorithm: parametric study

Data-driven model for predicting intermediate crack induced debonding of FRP-strengthened RC beams in flexure by Li, Guibing, Hu, Tianyu, Shao, Yian, Bai, Dawei

“… In this study, a Back-Propagation Neural Network (BPNN) model is proposed to predict the intermediate crack (IC…”
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Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin by Kumar, R. S. Varun, Alsulami, M. D., Sarris, I. E., Sowmya, G., Gamaoun, Fehmi

“… Furthermore, a novel implementation of a neural network with backpropagated Levenberg–Marquardt algorithm (NN-BLMA…”
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Real-time state-of-health monitoring of lithium-ion battery with anomaly detection, Levenberg–Marquardt algorithm, and multiphase exponential regression model by Ossai, Chinedu I., Egwutuoha, Ifeanyi P.

“… This study used segmentation-type anomaly detection, the Levenberg–Marquardt (LM) algorithm, and multiphase exponential regression (MER…”
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Levenberg–Marquardt method and partial exact penalty parameter selection in bilevel optimization by Tin, Andrey, Zemkoho, Alain B.

“… We then design and analyze a Levenberg–Marquardt method to solve this parametric system of equations…”
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Simulation of magnetized ferric oxide nanoparticle flow over a stretching surface using a Levenberg–Marquardt backpropagation approach by Ahmed, Iftikhar, Azhar, Ehtsham, Ali, Hashmat, Jamal, Muhammad, Afaq, Harsa

“…–Marquardt backpropagation method (ANNs-LMBM). The Levenberg–Marquardt backpropagation method is a widely used optimization algorithm for training neural networks…”
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A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial intelligence by Mkono, Christopher N., Shen, Chuanbo, Mulashani, Alvin K., Carranza, Emmanuel John M., Kalibwami, Daud C., Nyangi, Magori J.

“… This study presents a novel hybrid model of the Group Method of Data Handling and Levenberg Marquardt (GMDH-LM…”
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Non-intrusive reduced order modeling of nonlinear problems using neural networks by Hesthaven, J.S., Ubbiali, S.

“…•Numerical studies for the nonlinear Poisson equation and the incompressible steady Navier…”
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Recurrent neural networks employing Lyapunov exponents for EEG signals classification by GULER, N, UBEYLI, E, GULER, I

“…) employing Lyapunov exponents trained with Levenberg–Marquardt algorithm on the electroencephalogram (EEG) signals…”
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Application of machine learning for thermal exchange of dissipative ternary nanofluid over a stretchable wavy cylinder with thermal slip by Qureshi, Hamid, Pasha, Amjad Ali, Shah, Zahoor, Zahoor Raja, Muhammad Asif, Algarni, Salem, Alqahtani, Talal, Irshad, Kashif, Khan, Waqar Azeem

“…) hybrid fluid over a stretchable wavy cylindrical surface with slip effect, incorporating Python bvp algorithm with artificial intelligence AI analysis of numerical results…”
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Multiple faults diagnosis for ocean-going marine diesel engines based on different neural network algorithms by Zhu, Guoqing, Huang, Lin, Yin, Jiapeng, Gai, Wen, Wei, Lijiang

“… In this study, diagnosis methods based on thermal parametric analysis combined with different neural network algorithms were established and used for the diagnosis of multiple faults in the ocean…”
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Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks by Ceryan, Nurcihan, Okkan, Umut, Kesimal, Ayhan

“… Consequently, prediction models become an attractive alternative for engineering geologists. The objective of study is to select the explanatory variables (predictors…”
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Application of one‐step method to parameter estimation in ODE models by Dattner, Itai, Gugushvili, Shota

“…In this paper, we study application of Le Cam's one‐step method to parameter estimation in ordinary differential equation models…”
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Neural network study of gyrotactic microorganism dynamics in nanofluid through porous stretched surface by Khan, Saraj, Asjad, Muhammad Imran, Aslam, Muhammad Naeem, Riaz, Muhammad Bilal

“…–Forchheimer law are investigated. The nonlinear coupled mathematical model is solved using a hybrid algorithm that combines MATLAB's bvp4c solver with the Levenberg…”
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RANK-DEFICIENT NONLINEAR LEAST SQUARES PROBLEMS AND SUBSET SELECTION by IPSEN, I. C. F., KELLEY, C. T., POPE, S. R.

“…We examine the local convergence of the Levenberg—Marquardt method for the solution of nonlinear least squares problems that are rank-deficient and have nonzero residual…”
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DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data by Ortuño, Juan E, Ledesma-Carbayo, María J, Simões, Rui V, Candiota, Ana P, Arús, Carles, Santos, Andrés

“…) and its effect on pixel intensity. Results Pixel-wise model-based quantitative parameters are estimated by fitting DCE-MRI data to several pharmacokinetic models using the Levenberg-Marquardt algorithm (LMA). DCE…”
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Artificial neural network-assisted modeling of thermal performance in hybrid nanofluid-integrated solar water pumps by Farooq, Umar, Ali Khan, Shan, Aich, Walid, Rajhi, Wajdi, Muhammad, Taseer, Zulqarnain, Rana Muhammad, Elaissi, Samira, Khan, Ilyas

“… This study presents an ANN-based computational framework for the thermal performance optimization of hybrid nanofluid-powered solar water pumping systems utilizing Parabolic Trough Solar Collectors (PTSCs). The Levenberg…”
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Optimization of a Pixel-to-Pixel Curve-Fitting Method for Poroelastography Imaging by Galaz, Belfor Antonio, Acevedo, Rodrigo Hernan

“… We used the Levenberg-Marquardt algorithm as a fitting…”
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Fluid flow and heat transfer characteristics of a vertical channel with detached pin-fin arrays arranged in staggered manner on two opposite endwalls by Jadhav, Ravi S., Balaji, C.

“…This work investigates the fluid flow and the heat transfer characteristics of a vertical parallel plate channel filled with protruding partial length, high…”
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Predictive models for emission of hydrogen powered car using various artificial intelligent tools by Karri, Vishy, Ho, Tien Nhut

“…–Marquardt algorithm, and adaptive neuro-fuzzy inference systems. These predictions are based on the study of qualitative and quantitative effects of engine process…”
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Critical heat flux function approximation using genetic algorithms by Kwon, Yung-Keun, Moon, Byung-Ro, Hong, Sung-Deok

“… The former GA is a genetic nonlinear Levenberg-Marquardt algorithm of parametric model. We designed the chromosomes in a way that geographically exploits the relationships between parameters…”
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