Suchergebnisse - "Bayesian regularization algorithm"

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

“… 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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Modeling of a high gain two stage pHEMT LNA using ANN with Bayesian regularization algorithm von Thangaraj, Vignesh, Elangeswaran, Srie Vidhya Janani, Subburaman, Bhuvaneshwari, Kulkarni, Jayshri

“… % 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 von Imran, Muhammad, Hussain, Mohib, Jia, Wantao, Shah, Nehad Ali, Ali, Bagh

“… 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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Machine learning analysis based on Bayesian regularization algorithm for the thermal bioconvection flow of Boger nanofluid in the presence of gyrotactic microbes: enzyme-based biosensor applications von Shaaban, Shaaban M., Elhag, Ahmed Babeker, Jaghdam, Ines Hilali, Toshpulatova, Mamurakhon, Abbas, Munawar, Mahariq, Ibrahim, Bayram, Mustafa, Sajjad, Mohammad Saqlain

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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 von Abbas, Munawar, Medani, Mohamed, Elaissi, Samira, Adnan OTHMAN, Nashwan, Zayani, Hafedh Mahmoud, Shafique, Muhammad, Khan, Ilyas, Ben Khedher, Nidhal

“… 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 von Zhang, Xinyong, Sun, Liwei, Qi, Lingtong

“… 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 von Wartika, Gaol, Ford Lumban, Nugroho, Ariadi, Abbas, Bahtiar Saleh

“… 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 von Song, Minhan, Wang, Wei, Sun, Chong

“… ) 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 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

“… ‐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 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

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

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

“… •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 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

“… 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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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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Photovoltaic Power Forecasting Using Recurrent Neural Network Based On Bayesian Regularization Algorithm von Kusuma, Vita, Privadi, Ardvono, Setya Budi, Avian Lukman, Budiharto Putri, Vita Lystianingrum

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

“… ) 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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