Výsledky vyhledávání - "recursive prediction error algorithm"

Locally recurrent neural networks for wind speed prediction using spatial correlation Autor Barbounis, T.G., Theocharis, J.B.

“…This paper deals with the wind speed prediction in wind farms, using spatial information from remote measurement stations. Owing to the temporal complexity of…”
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A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation Autor Barbounis, T.G., Theocharis, J.B.

“… Training of the LF-DFNN models is achieved using an optimal on-line learning scheme, the decoupled recursive prediction error algorithm (DRPE…”
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On the development and application of a continuous-discrete recursive prediction error algorithm Autor Stigter, J.D., Beck, M.B.

“… In the current paper we derive a continuous-discrete version of recursive prediction error algorithm and apply the filter in an environmental and biological setting as a possible alternative…”
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Locally recurrent neural networks for long-term wind speed and power prediction Autor Barbounis, T.G., Theocharis, J.B.

“…The paper deals with a real-world application, the long-term wind speed and power forecasting in a wind farm using locally recurrent multilayer networks as…”
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Parallel recursive prediction error algorithm for training layered neural networks Autor CHEN, S., COWAN, C. F. N., BILLINGS, S. A., GRANT, P. M.

“…A new recursive prediction error algorithm is derived for the training of feedforward layered neural networks…”
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A Recursive Prediction Error Method with Effective Use of Gradient-Functions to Adapt PMSM-Parameters Online Autor Perera, Aravinda, Nilsen, Roy

“…This paper proposes a method for online estimation of electrical parameters of interior permanent magnet synchronous machines (IPMSM) based on the recursive…”
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On the identification of model structure in hydrological and environmental systems Autor Lin, Z, Beck, M.B

“…1 The paper presents a new recursive estimation algorithm designed expressly for the purpose of model structure identification (not for state estimation or…”
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On-line estimation of parameters in a respiration model using a continuous-discrete type of recursive prediction error algorithm Autor Stigter, J. D., Vanrolleghem, P. A., Van Impe, J. F.

“… an `on-line' combined state/parameter estimation algorithm. The analysis suggests that the continuous-discrete type of recursive prediction error algorithm can be used…”
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A Recursive Prediction Error algorithm for digital predistortion of FIR Wiener systems Autor Abd-Elrady, E.

“…This paper considers the problem of predistortion of nonlinear systems which are described using FIR Wiener models by connecting two adaptive FIR Hammerstein…”
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A recursive prediction error algorithm for identification of certain time-varying nonlinear systems Autor Nordsjo, A.E., Zetterberg, L.H.

“…The tracking problem in identification of certain classes of time-varying nonlinear systems is addressed. In particular, a Hammerstein type system which…”
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Incremental recursive prediction error algorithm for parameter estimation in sensor networks Autor Sundhar Ram, S., Veeravalli, V.V., Nedic, A.

“… incremental recursive prediction error algorithm. This algorithm has the distributed property of incremental gradient algorithms and the on-line property of recursive…”
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Transformer On-line Monitoring and Fault Diagnosis System Based on DRNN and PAS Autor Duan, Huida, Xie, Huan, Lu, Yang

“…This paper is a systematic study of artificial neural network applications for the diagnosis of power transformer incipient fault. Diagonal recurrent neural…”
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The development and application of a continuous-discrete recursive prediction error algorithm in environmental systems analysis Autor Stigter, Johannes Daniel

“…Environmental models frequently suffer from a lack of identifiability due to the ill-defined system, the sparsely collected data, and the lack of 'a priori'…”
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An improved recursive prediction error algorithm for training recurrent neural networks Autor Li Hongru, Wang Xiaozhe, Gu Shusheng

“…In this paper, a fast and effective learning algorithm for training recurrent neural networks, which is realized by introducing and improving the recursive…”
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A second order recursive prediction error algorithm for diagonal recurrent neural networks Autor Yongji Wang, Fernholz, G., Engell, S.

“…A recursive prediction error (RPE) learning algorithm with second order of convergence for diagonal recurrent neural networks (DRNN) is presented. A guideline…”
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Square-root recursive prediction error algorithm for perceptron-based adaptive equalization over frequency selective fading channel Autor Siu, S., Ching-Haur Chang, Che-Ho Wei

“…The use of square-root recursive prediction error (RPE) algorithm for multi-layer perceptron (MLP) based decision feedback equalization (DFE) over frequency…”
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Identification of model structure for photosynthesis and respiration of algal populations Autor Stigter, J.D., Beck, M.B., Gilbert, R.J.

“…) a recursive prediction error algorithm used as a verification tool. The method is applied to a case study in north west Georgia involving the dynamic simulation of a population of algae in a standing body of water…”
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On adaptive optimal input design: A bioreactor case study Autor Stigter, J. D., Vries, D., Keesman, K. J.

“… The optimal feed rate F in*(tk) thus obtained is applied and the observation y(tk+1) that becomes available is subsequently used in a recursive prediction error algorithm to find an improved estimate of the actual parameter estimate θˆ(tk…”
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Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models Autor Ram, S.S., Veeravalli, V.V., Nedic, A.

“… prediction error algorithm. This algorithm has the distributed property of incremental gradient algorithms and the on-line property of recursive prediction error algorithms…”
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Long-term wind speed and power forecasting using local recurrent neural network models Autor Barbounis, T.G., Theocharis, J.B., Alexiadis, M.C., Dokopoulos, P.S.

“…This paper deals with the problem of long-term wind speed and power forecasting based on meteorological information. Hourly forecasts up to 72-h ahead are…”
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