Suchergebnisse - "Backpropagation through time algorithms"

Recurrent Neural Networks Trained With Backpropagation Through Time Algorithm to Estimate Nonlinear Load Harmonic Currents von Mazumdar, J., Harley, R.G.

“… Generation of harmonics and the existence of waveform pollution in power system networks are important problems facing the power utilities. The determination …”
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Federated Learning for Radar Gesture Recognition Based on Spike Timing-Dependent Plasticity von Zhang, Mengjun, Li, Bin, Liu, Hongfu, Zhao, Chenglin

“… Radar-based gesture recognition combined machine learning methods can achieve excellent performance and has been utilized in a wide variety of applications …”
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Artificial neural network models for fault detection and isolation of industrial processes von Józef Korbicz, Andrzej Janczak

“… The paper focuses on using of artificial neural networks in model-based fault detection and isolation. Modelling of a system both at its normal operation …”
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A simplification of the backpropagation-through-time algorithm for optimal neurocontrol von Bersini, H., Gorrini, V.

“… Backpropagation-through-time (BPTT) is the temporal extension of backpropagation which allows a multilayer neural network to approximate an optimal …”
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Gait synthesis of a biped robot using backpropagation through time algorithm von Jih-Gau Juang, Chun-Shin Lin

“… A neural network architecture is developed for the gait synthesis of a five-link biped walking robot. The learning scheme uses a multilayered feedforward …”
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Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter von Fu, Xingang, Li, Shuhui, Fairbank, Michael, Wunsch, Donald C., Alonso, Eduardo

“… This paper explores how to incorporate FATT into the LM algorithm. The results show that the combination of the LM and FATT algorithms trains RNNs better than the conventional backpropagation through time algorithm …”
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Adaptive dynamic programming and deep reinforcement learning for the control of an unmanned surface vehicle: Experimental results von Gonzalez-Garcia, Alejandro, Barragan-Alcantar, David, Collado-Gonzalez, Ivana, Garrido, Leonardo

“… A simulation of the vehicle mathematical model was used to train the neural network with the model-based backpropagation through time algorithm, capable of dealing with continuous action-spaces …”
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Extensions of recurrent neural network language model von Mikolov, Tomas, Kombrink, Stefan, Burget, Lukas, Cernocky, Jan Honza, Khudanpur, Sanjeev

“… Next, we show importance of using a backpropagation through time algorithm. An empirical comparison with feedforward networks is also provided …”
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Robust model predictive control based on recurrent multi-dimensional Taylor network for discrete-time non-linear time-delay systems von Duan, Zheng-Yi, Yan, Hong-Sen, Zheng, Xiao-Yi

“… This study is concerned with the robust model predictive control (MPC) based on recurrent multi-dimensional Taylor network (RMTN) for the discrete-time …”
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Influence of saccade efference copy on the spatiotemporal properties of remapping: a neural network study von Keith, Gerald P, Blohm, Gunnar, Crawford, J Douglas

“… (represented as a "hill" of activity in a gaze-centered topographic map) across saccades, using discrete time steps and backpropagation-through-time algorithm …”
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A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting von Samanta, S., Suresh, S., Senthilnath, J., Sundararajan, N.

“… A new Neuro-Fuzzy Inference System with Dynamic Neurons or NFIS-DN is presented here for discrete time dynamic system identification and time series …”
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A Conjugate Gradient-Based BPTT-Like Optimal Control Algorithm With Vehicle Dynamics Control Application von Kasac, J., Deur, J., Novakovic, B., Kolmanovsky, I. V., Assadian, F.

“… The algorithm has a backward-in-time recurrent structure similar to the backpropagation-through-time algorithm, which is mostly used as a learning algorithm for dynamic neural networks …”
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Neural optimal control of flexible spacecraft slew maneuver von Nayeri, M.Reza Dehghan, Alasty, Aria, Daneshjou, Kamran

“… ) for this multivariable non-linear maneuver. For NOC training, an off-line training procedure based on backpropagation through time algorithm is developed to minimize the general quadratic cost function in forward and backward pass stages …”
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Neural networks applied to the prediction of fed-batch fermentation kinetics of Bacillus thuringiensis von Valdez-Castro, L., Baruch, I., Barrera-Cortés, J.

“… The weight update learning algorithm designed is a version of the well known backpropagation through time algorithm directed to the RNNM learning …”
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Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm von Egidio, Lucas N., Hansson, Anders, Wahlberg, Bo

“… We consider the problem to learn a step-size policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm. This is a limited computational …”
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Visual recognition and inference using dynamic overcomplete sparse learning von Murray, Joseph F, Kreutz-Delgado, Kenneth

“… We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of …”
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Remarks on System Identification Using a Quaternion Recurrent Neural Network Trained by Backpropagation through Time von Takahashi, Kazuhiko, Shibata, Sora, Hashimoto, Masafumi

“… This study investigates the learning capability of a quaternion recurrent neural network that is trained based on a backpropagation through time algorithm extended to quaternion numbers …”
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The Treasury Bill Rate, the Great Recession, and Neural Networks Estimates of Real Business Sales von Joseph, Anthony, Larrain, Maurice, Turner, Claude

“… The neural network models’, trained in supervised learning with the Levenberg-Marquardt backpropagation through time algorithm, prediction accuracy was confirmed with correlation coefficient and root mean square tests …”
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Neural network approach for identification of Hammerstein systems von Janczak, Andrzej

“… These algorithms, namely the backpropagation for series-parallel models, the backpropagation, sensitivity method, and truncated backpropagation through time algorithm (BPTT …”
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Big data stream learning based on hybridized Kalman filter and backpropagation through time method von He, Fan, Xiong, Ning

“… of the Backpropagation through time algorithm. Several experiments were made to show that the proposed learning method has fast convergence, high accuracy and good adaptivity …”
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