Search Results - Optimized Backpropagation Learning Algorithm*

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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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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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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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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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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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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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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A new paradigm for smart packaging: A dual-channel freshness monitoring platform based on aerogels of sodium alginate-anthocyanin complex with high colorimetric sensitivity and stability by Zheng, Shiwei, Wang, Dangfeng, Ren, Likun, Wang, Tian, Meng, Yuqiong, Ma, Rui, Wang, Shulin, Cui, Fangchao, Li, Tingting, Li, Jianrong

“… Among the four machine learning models, the radial basis function neural network and backpropagation network optimized…”
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Data-driven prediction of flame temperature and pollutant emission in distributed combustion by Roy, Rishi, Gupta, Ashwani K.

“…•Different backpropagation algorithms were investigated to optimize the model. The flame temperature and pollutant emission (of NO and…”
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AP-Loss for Accurate One-Stage Object Detection by Chen, Kean, Lin, Weiyao, Li, Jianguo, See, John, Wang, Ji, 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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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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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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Monitoring Soybean Soil Moisture Content Based on UAV Multispectral and Thermal-Infrared Remote-Sensing Information Fusion by Shi, Hongzhao, Liu, Zhiying, Li, Siqi, Jin, Ming, Tang, Zijun, Sun, Tao, Liu, Xiaochi, Li, Zhijun, Zhang, Fucang, Xiang, Youzhen

“… Three machine learning methods, eXtreme Gradient Boosting (XGBoost), Random…”
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Deep convolutional neural network and IoT technology for healthcare by Wassan, Sobia, Dongyan, Hu, Suhail, Beenish, Jhanjhi, N.Z., Xiao, Guanghua, Ahmed, Suhail, Murugesan, Raja Kumar

“… Deep learning algorithms can find complex patterns in images, text, audio, and other data types to provide accurate predictions and conclusions…”
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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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An Integrated Framework for Remote Sensing Assessment of the Trophic State of Large Lakes by Meng, Dinghua, Mao, Jingqiao, Li, Weifeng, Zhu, Shijie, Gao, Huan

“… influencing the trophic state. Second, a trophic state index (TSI) inversion model was constructed using a machine learning algorithm, and this was then optimized using the sparrow search algorithm (SSA…”
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Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch by Laporte, Floris, Dambre, Joni, Bienstman, Peter

“… be optimized with well-established machine learning algorithms such as backpropagation…”
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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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