Search Results - Error back propagation algorithm through time

Deep Recurrent Neural Network Architecture of High Order Indirect Integration Method by Xie, Zhengrong, Ai, Yibo, Chen, Jia, Wang, Fan, Zhang, Weidong

“…; Taking the structure of deep RNN as the calculation diagram, the error back-propagation paths are graded according to the order of traversal differential state and with the help of BPTT algorithm, the recursive relationship between the path parameter gradients (equivalent to the parameter gradients of different order IIM) is obtained…”
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Merging Counter-Propagation and Back-Propagation Algorithms: Overcoming the Limitations of Counter-Propagation Neural Network Models by Drgan, Viktor, Venko, Katja, Sluga, Janja, Novič, Marjana

“…) with the back-propagation-of-errors algorithm (BPE-ANN). The advantage is a short…”
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Adaptive dynamic wavelength and bandwidth allocation algorithm based on error-back-propagation neural network prediction by Liu, Bo, Zhang, Lijia, Wang, Fu, Liu, Ming, Mao, Yaya, Zhao, Lilong, Sun, Tingting, Xin, Xiangjun

“…) and machine learning also brings new opportunities to the flexibility of WDM/TDM-PON. In this paper, an Adaptive Dynamic Bandwidth Allocation algorithm based on error-back-propagation Neural Network Prediction (ADBA-NNP…”
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Ventilated cavity flows behind a backward facing step with a combination computational fluid dynamics and Error Back Propagation algorithm by He, Zanyang, Sun, Tiezhi, Zou, Li, Jiang, Yichen, Duan, Lei

“… and artificial intelligence algorithm. The results of the computational fluid dynamics are compared with available experimental data to validate the precision, which shows good agreement…”
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An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks by Xie, Xiurui, Qu, Hong, Liu, Guisong, Zhang, Malu, Kurths, Jürgen

“… For training the hierarchical SNNs, most existing methods are based on the traditional back-propagation algorithm, inheriting its drawbacks of the gradient diffusion…”
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Background Calibration of Time-Interleaved ADC for Optical Coherent Receivers using Error Backpropagation Techniques by Solis, Fredy, Bocco, Alvaro Fernandez, Morero, Damian, Hueda, Mario R., Reyes, Benjamin T.

“…Backpropagation is a machine learning algorithm used to train neural networks. This paper introduces a back-propagation based technique for the calibration of the mismatch errors of time-interleaved analog to digital converters (TI-ADCs…”
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Adaptive QSMO-Based Sensorless Drive for IPM Motor with NN-Based Transient Position Error Compensation by Sun, Linfeng, Guo, Jiawei, Jiang, Xiongwen, Kawaguchi, Takahiro, Hashimoto, Seiji, Jiang, Wei

“…) and phase-locked loop (PLL), still faces challenges such as position errors and limited applicability across a wide speed range…”
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Machine translation of English speech: Comparison of multiple algorithms by Wu, Yijun, Qin, Yonghong

“… The results showed that the back-propagation (BP) neural network had a lower word error rate and spent less recognition time than artificial recognition in recognizing the speech; the LSTM…”
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Thermal positioning error modeling of machine tools using a bat algorithm-based back propagation neural network by Li, Yang, Zhao, Ji, Ji, Shijun

“… According to the nonlinear and time-varying characteristics of thermal error, the back propagation (BP…”
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A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network by Sun, Wei, Huang, Chenchen

“…). Then, the model input was determined by partial autocorrelation analysis (PACF). Finally, the back propagation (BP…”
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The deformation monitoring of foundation pit by back propagation neural network and genetic algorithm and its application in geotechnical engineering by Luo, Jie, Ren, Ran, Guo, Kangde

“… Aiming at the limitations of back propagation neural network (BPNN), a genetic algorithm (GA…”
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A Method for Predicting Inertial Navigation System Positioning Errors Using a Back Propagation Neural Network Based on a Particle Swarm Optimization Algorithm by Wang, Yabo, Jiao, Ruihan, Wei, Tingxiao, Guo, Zhaoxing, Ben, Yueyang

“…–Back Propagation Neural Network (PSO-BPNN) to replace the GPS for positioning. The model relates the position information, velocity information, attitude…”
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An Extension Network of Dendritic Neurons by Peng, Qianyi, Gao, Shangce, Wang, Yirui, Yi, Junyan, Yang, Gang, Todo, Yuki

“…Deep learning (DL) has achieved breakthrough successes in various tasks, owing to its layer-by-layer information processing and sufficient model complexity…”
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Spatiotemporal deep learning approach on estimation of diaphragm wall deformation induced by excavation by Zhao, Hua-jing, Liu, Wei, Shi, Pei-xin, Du, Jiang-tao, Chen, Xiu-ming

“… mm for nowcasting and forecasting tasks, respectively. Three prevailing algorithms in time series prediction, namely, back propagation neural network, long short…”
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Baseline-Free Damage Imaging Algorithm Using Spatial Frequency Domain Virtual Time Reversal by de Castro, Bruno Albuquerque, Baptista, Fabricio Guimaraes, Alfredo Ardila-Rey, Jorge, Ciampa, Francesco

“… This article proposes a baseline-free damage imaging algorithm based on spatial frequency domain virtual time reversal (SFD-VTR…”
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Fast SCFBP Algorithm for GPR-SAR Imaging Integrated With Underground Medium Permittivity Inversion by Zhou, Song, Shi, Ming, Bao, Min, Wang, Zao, Xing, Mengdao, Wen, Pin

“…Due to the complex detection environment of ground-penetrating radar (GPR), time-domain algorithm (TDA…”
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Study on Land Subsidence Simulation Based on a Back-Propagation Neural Network Combined with the Sparrow Search Algorithm by Zhu, Xueqi, Zhu, Wantian, Guo, Lin, Ke, Yinghai, Li, Xiaojuan, Zhu, Lin, Sun, Ying, Liu, Yaxuan, Chen, Beibei, Tian, Jinyan, Gong, Huili

“… This paper innovatively introduced a back-propagation (BP) neural network subsidence simulation model which was optimized by the sparrow search algorithm (SSA…”
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Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm by Liu, Hui, Duan, Zhu, Han, Feng-ze, Li, Yan-fei

“…•The different decomposing algorithms are used to decompose the original data.•The different forecasting models are built to predict the pre-processed data…”
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SSA optimized back propagation neural network model for dam displacement monitoring based on long-term temperature data by Yu, Xin, Li, Junjie, Kang, Fei

“… in conditions of significant temperature variations. A model of Sparrow Search Algorithm optimized error Back Propagation neural network (SSA-BP…”
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Corrosion fatigue life prediction method of aluminum alloys based on back-propagation neural network optimized by Improved Grey Wolf optimization algorithm by Ji, GaoFei, Li, ZhiPeng, Hu, LingHui, Huang, HaoDong, Song, XianHai, Wu, Qiong

“…: BP, particle swarm optimization-back propagation (PSO-BP), and genetic algorithm-backpropagation (GA-BP…”
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