Search Results - Optimized Backpropagation Learning Algorithm

Genetic algorithm-optimized backpropagation neural network establishes a diagnostic prediction model for diabetic nephropathy: Combined machine learning and experimental validation in mice by LIANG, WEI, ZHANG, ZONGWEI, YANG, KEJU, HU, HONGTU, LUO, QIANG, YANG, ANKANG, CHANG, LI, ZENG, YUANYUAN

“… The machine learning approach provides a non-invasive and specific criterion for diagnosing DN, although traditional machine learning algorithms need to be improved to enhance diagnostic performance. Methods…”
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Least-cost design of singly and doubly reinforced concrete beam using genetic algorithm optimized artificial neural network based on Levenberg–Marquardt and quasi-Newton backpropagation learning techniques by Saini, Babita, Sehgal, V. K., Gambhir, M. L.

“…–Marquardt, and quasi-Newton backpropagation learning techniques. The initial solution for the optimization procedure was obtained using limit state design as per…”
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Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China by Feng, Yu, Cui, Ningbo, Zhao, Lu, Hu, Xiaotao, Gong, Daozhi

“… In this study, trained extreme learning…”
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Numerical analysis of thermophoretic particle deposition on 3D Casson nanofluid: Artificial neural networks-based Levenberg–Marquardt algorithm by Khan, Amna, Aljuaydi, Fahad, Khan, Zeeshan, Islam, Saeed

“…–Marquardt learning algorithm with backpropagation neural network (LMLA-BPNN) has been designed. The mathematical model of TPD-CNF framed with appropriate assumptions…”
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Adaptive VMD based optimized deep learning mixed kernel ELM autoencoder for single and multistep wind power forecasting by Krishna Rayi, Vijaya, Mishra, S.P., Naik, Jyotirmayee, Dash, P.K.

“… optimization problems, time consuming training process and limitations of backpropagation learning algorithms…”
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Robust prediction of tool-tissue interaction force using ISSA-optimized BP neural networks in robotic surgery by Yan, Yong-Li, Ren, Teng, Ding, Li, Sun, Tiansheng, Huang, Shandeng

“… Methods The current proposal concerns a deep learning-based solution utilizing a backpropagation neural network (BPNN…”
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Multi-Algorithm Comparison for Water Quality Retrieval: Integrating Landsat-8 OLI and Machine Learning in Karst Plateau Reservoirs by Xie, Rukai, Zhou, Zhongfa, Kong, Jie, Wang, Cui, Wang, Yanbi, Li, Li, Ding, Caixia, Li, Rui, Zhang, Xinyue

“… linear regression and seven machine learning algorithms: Genetic Algorithm- and Particle Swarm-optimized Backpropagation Neural Networks (BPNNs…”
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Enhancing soil particle content prediction accuracy: advanced hyperspectral analysis and machine learning models by Wang, Xiao, Ding, Jianli, Han, Lijing, Tan, Jiao, Ge, Xiangyu

“…) were constructed using an optimal band algorithm. By integrating environmental covariates and TBIs, soil particle inversion models were developed using the extreme learning machine (ELM…”
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Comparison of artificial intelligence and empirical models for estimation of daily diffuse solar radiation in North China Plain by Feng, Yu, Cui, Ningbo, Zhang, Qingwen, Zhao, Lu, Gong, Daozhi

“…), backpropagation neural networks optimized by genetic algorithm (GANN), random forests (RF), and generalized regression neural networks (GRNN…”
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Enhanced remaining useful life prediction of lithium-ion batteries using genetic algorithm-optimized backpropagation neural networks by Li, Xiang, Du, Haozhe, Wang, Tian, Bi, Jing, Zhang, Haiyan, Zhao, Shu, Yu, Haijun

“… This study proposes a genetic algorithm (GA)-optimized backpropagation (BP) neural network that eliminates the need for complex feature engineering and improves convergence robustness…”
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Rapid quantification of active pharmaceutical ingredient for sugar-free Yangwei granules in commercial production using FT-NIR spectroscopy based on machine learning techniques by Zhao, Jie, Tian, Geng, Qiu, Yanyan, Qu, Haibin

“…). Different machine learning approaches—i.e., interval partial least squares optimized by the genetic algorithm (GA-iPLS…”
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Comparative analysis of Elman and Jordan Recurrent Neural Networks for Solar Radiation and Air Temperature Prediction Using Backpropagation Variants by Ed-daoudi, Rachid, Azhari, Mourad, Ettaki, Badia, Zerouaoui, Jamal

“…%) subsets to develop and test the models. The research systematically explored different network architectures with 1-2 hidden layers containing 4-12 neurons, applying three learning algorithms: BackPropagation (BP…”
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Predicting the low‐cycle fatigue life of Ti‐6Al‐4V alloy using backpropagation neural network optimized by the improved dung beetle algorithm by Gao, Zihao, Zhu, Changsheng, Shu, Yafeng, Wang, Shaohui, Wang, Canglong, Chen, Yupeng

“…In this study, we propose an innovative approach that enhances the performance of the backpropagation (BP…”
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A genetic algorithm-optimized backpropagation neural network model for predicting soil moisture content using spectral data by Wang, Jiawei, Wu, Yongyi, Zhang, Yulu, Wang, Honghao, Yan, Hong, Jin, Hua

“… The objective of this study was to develop and compare regression and machine learning algorithms to estimate SMC from multispectral images…”
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Inversion of Water Quality Parameters from UAV Hyperspectral Data Based on Intelligent Algorithm Optimized Backpropagation Neural Networks of a Small Rural River by Wang, Manqi, Zhou, Caili, Shi, Jiaqi, Lin, Fei, Li, Yucheng, Hu, Yimin, Zhang, Xuesheng

“… In this work, machine learning models were established to predict the water quality of a typical small rural river based on a small quantity of measured water quality data and UAV hyperspectral images…”
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A novel landslide susceptibility mapping method based on a backpropagation neural network algorithm with optimized non-landslide samples and hyperparameters by Liu, Shandong, Jiang, Xingyuan, He, Xudong, Qiu, Haijun, Yang, Yi, Zhao, Rongqian, Hu, Hongsen

“… To address the uncertainty in non-landslide sample selection and optimize model hyperparameters, this study introduces a multi-sample label learning (MSLL) approach…”
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Data Value Assessment in Digital Economy Based on Backpropagation Neural Network Optimized by Genetic Algorithm by Qin, Xujiang, He, Qi, Zhang, Xin, Yang, Xiang

“… To overcome these challenges, this study proposes a genetic algorithm-optimized BP (GA-BP) model, enhancing the efficiency and accuracy of data valuation…”
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Optoelectronic Systems Trained With Backpropagation Through Time by Hermans, Michiel, Dambre, Joni, Bienstman, Peter

“…). Instead of viewing the system as a random dynamical system, we see it as a true machine-learning model, which can be fully optimized…”
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Towards Accurate One-Stage Object Detection With AP-Loss by Chen, Kean, Li, Jianguo, Lin, Weiyao, See, John, Wang, Ji, Duan, Lingyu, Chen, Zhibo, He, Changwei, Zou, Junni

“… For this purpose, we develop a novel optimization algorithm, which seamlessly combines the error-driven update scheme in perceptron learning and backpropagation algorithm in deep networks…”
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Optimized backpropagation neural network for risk prediction in corporate financial management by Gu, Lingzi

“… This risk prediction is handled using sophisticated computing models with artificial intelligence and machine learning for self-training and external learning…”
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