Search Results - integrated backpropagation parameter estimation algorithm

An Integrated Deep Learning-Based Data Fusion and Degradation Modeling Method for Improving Prognostics by Wang, Di, Liu, Kaibo

“… to poor prognostic results. This paper proposes an integrated deep learning-based data fusion and degradation…”
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Parameter Estimation of DAB Converter Using Intelligent Algorithms and Steady-State Modeling Considering Nonidealities by Shang, Qianyi, Xiao, Fei, Fan, Yaxiang, Wang, Ruitian, Qin, Haochen, Song, Tiewei

“…Parameter estimation of dual active bridge (DAB) converters is a powerful tool in the applications of fault location, modulation strategy optimization, and preventive maintenance…”
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Real-time estimation and prediction of lateral stability of coaches: a hybrid approach based on EKF, BPNN, and online autoregressive integrated moving average algorithm by Fu, Rui, Zhang, Hailun, Guo, Yingshi, Yang, Fei, Lu, Yuping

“…) estimation algorithm. Then, a steering system is established that replaces the front-wheel angle with the steering wheel input torque…”
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Data-Driven Parameter Estimation of Lumped-Element Models via Automatic Differentiation by Mezza, Alessandro Ilic, Giampiccolo, Riccardo, Bernardini, Alberto

“… Inspired by recent work on physical neural networks, we propose to explicitly embed a differentiable LEM in the forward pass of a learning algorithm and discover its parameters via backpropagation…”
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Prediction of Converter Tapping Weight Based on Principal Component Analysis–Whale Optimization Algorithm–Backpropagation Algorithm Neural Network Model by Xue, Chao, Xu, Weili, Bao, Yanping, Zhao, Lihua, Liu, Xin, Zheng, Ruixuan

“… In this study, a principal component analysis–whale optimization algorithm–backpropagation algorithm (PCA–WOA–BP…”
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Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System by Ohirul Qays, Md, Buswig, Yonis, Hossain, Md Liton, Abu-Siada, Ahmed

“… Battery state of charge (SOC) estimation based on the backpropagation neural network (BPNN) technique is utilized to check the charge condition of the storage system…”
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Novel wavelet neural network algorithm for continuous and noninvasive dynamic estimation of blood pressure from photoplethysmography by Li, Peng, Liu, Ming, Zhang, Xu, Hu, Xiaohui, Pang, Bo, Yao, Zhaolin, Chen, Hongda

“…This paper proposes a novel wavelet neural network algorithm for the continuous and noninvasive dynamic estimation of blood pressure（BP…”
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Multi-objective Optimization in Drilling Kevlar Fiber Reinforced Polymer Using Grey Fuzzy Analysis and Backpropagation Neural Network–Genetic Algorithm (BPNN–GA) Approaches by Soepangkat, Bobby O. P., Pramujati, Bambang, Effendi, Mohammad Khoirul, Norcahyo, Rachmadi, Mufarrih, A. M.

“…) L 18 was used as the design of experiments. Grey fuzzy analysis was first applied to obtain a rough estimation of the optimum drill point geometry and drilling process parameters…”
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High-Precision and Robust SOC Estimation of LiFePO4 Blade Batteries Based on the BPNN-EKF Algorithm by Zhang, Zhihang, Chen, Siliang, Lu, Languang, Han, Xuebing, Li, Yalun, Chen, Siqi, Wang, Hewu, Lian, Yubo, Ouyang, Minggao

“… To accurately perceive the SOC of LiFePO4 blade batteries, a SOC estimation method based on the backpropagation neural network-extended Kalman filter (BPNN-EKF…”
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Contaminant dispersion prediction and source estimation with integrated Gaussian-machine learning network model for point source emission in atmosphere by Ma, Denglong, Zhang, Zaoxiao

“…) model can be used for gas dispersion prediction. However, the prediction results from these network models with too many inputs based on original monitoring parameters are not in good agreement with the experimental data…”
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A Levenberg–Marquardt Backpropagation Neural Network for Predicting Forest Growing Stock Based on the Least-Squares Equation Fitting Parameters by Zhou, Ruyi, Wu, Dasheng, Fang, Luming, Xu, Aijun, Lou, Xiongwei

“… This study focuses on predicting forest growing stock, one of the most significant parameters of a forest resource assessment…”
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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

“… and 18 output nodes. Three different ANN training algorithms, viz., gradient descent with momentum and adaptive learning rate backpropagation (GDX…”
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A Generic Model to Estimate Ozone Concentration From Landsat 8 Satellite Data Based on Machine Learning Technique by Yang, Xiaoting, Zhang, Meng, Zhang, Bo

“… air-pollution characteristics. Based on the multilayer backpropagation neural network, one O 3 estimation model is proposed to obtain the continuous spatial distribution of O 3 concentrations, where the Landsat 8 images…”
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Modeling and Online SOC Estimation Method Using Back Propagation Neural Network with Momentum Gradient Descent Algorithm of Batteries by Kuang, Huyong, Zhang, Bize, Zhang, Yuanyuan, Tian, Jiaqiang, Fan, Yuan

“… estimation method using Back Propagation neural network with momentum gradient descent algorithm (BP-MGD…”
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Signal Reconstruction by Phase Retrieval and Optical Backpropagation in Phase-Diverse Photonic Time-Stretch Systems by Stigwall, J., Galt, S.

“… The method consists of optical phase retrieval at the measurement point followed by simulated optical backpropagation to the modulation point…”
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Recurrent Neural Network for Estimation of Aerodynamic Parameters by Mahajan, Hardik K., Kaur, Jaspreet, Singh, S., Banerjee, S.

“…In this paper, Recurrent Neural Network (RNN) is proposed for the estimation of aerodynamic derivatives of an aircraft…”
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Influence of the Discretization Methods for the Model of Lithium-Ion Battery by Zhang, Zepei, Fan, Yuan, Kuang, Huyong

“…) and gradient descent method. The model parameters is employed to define the weights of the BPNN, and the gradient descent algorithm is adopted to optimize…”
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On the Efficiency of Digital Back-Propagation for Mitigating SOA-Induced Nonlinear Impairments by Ghazisaeidi, A., Rusch, L. A.

“…We study the efficiency and numerical accuracy of two digital backpropagation schemes for post-compensating SOA-induced nonlinear impairments in the context of coherent receivers for advanced modulated formats…”
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“GAN+” Deep Learning Network in TBM Tunneling Parameter Prediction by Wei, Xiaobing, Li, Xiaojing, Wang, Chaonan, Li, Zhaofeng, Pei, Haiqin, Huang, Rilang

“… Addressing the issues of the current TBM parameter prediction model’s accuracy needing improvement and the challenges of prediction with limited data, This study proposes a generative adversarial network (GAN…”
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AdaSpline-Net for Improved Short-Term Solar Irradiance Forecasting by Koh, Ngiap Tiam, Sharma, Anurag, Xiao, Jianfang, Chin, Cheng Siong, Xing, Chin Jun, Woo, Wai Lok

“… The piecewise polynomial approach proposed in this work, integrated into the neural network framework and optimized using the Adaptive Moment Estimation (Adam…”
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