Results 41 to 50 of about 1,354,279 (305)
Comparative Analysis Using Multiple Regression Models for Forecasting Photovoltaic Power Generation
EnergiesEffective machine learning regression models are useful toolsets for managing and planning energy in PV grid-connected systems. Machine learning regression models, however, have been crucial in the analysis, forecasting, and prediction of numerous ...
Burhan U Din Abdullah +5 more
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On the Statistical Analysis of the Harmonic Signal Autocorrelation Function
International Journal of Applied Mathematics and Computer Science, 2021 The article presents new tools for investigating the statistical properties of the harmonic signal autocorrelation function (ACF). These tools enable identification of the ACF estimator errors in measurements in which the triggering of the measurements ...
Sienkowski Sergiusz, Krajewski Mariusz
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On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression [PDF]
IEEE Signal Processing Letters, 2020 In this paper, we exploit the properties of mean absolute error (MAE) as a loss function for the deep neural network (DNN) based vector-to-vector regression.
Jun Qi +4 more
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Minimum Mean Squared Error Estimation and Mutual Information Gain
InformationInformation theoretic quantities such as entropy, entropy rate, information gain, and relative entropy are often used to understand the performance of intelligent agents in learning applications. Mean squared error has not played a role in these analyses,
Jerry Gibson
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Nonparametric estimation of mean-squared prediction error in nested-error regression models
, 2005 Nested-error regression models are widely used for analyzing clustered data. For example, they are often applied to two-stage sample surveys, and in biology and econometrics.
Hall, Peter, Maiti, Tapabrata
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Minimum mean square error estimation [PDF]
Applications of Mathematics, 1979 In many cases we can consider the regression parameters as realizations of a random variable. In these situations the minimum mean square error estimator seems to be useful and important. The explicit form of this estimator is given in the case that both the covariance matrices of the random parameters and those of the error vector are singular.
openaire +2 more sources
Single-tone frequency estimation based on reformed covariance for half-length autocorrelation
Metrology and Measurement Systems, 2020 This paper presents a new simple and accurate frequency estimator of a sinusoidal signal based on the signal autocorrelation function (ACF). Such an estimator was termed as the reformed covariance for half-length autocorrelation (RC-HLA).
Sergiusz Sienkowski, Mariusz Krajewski
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Performance evaluation of channel estimation techniques in a multiple antenna OFDM system [PDF]
, 2003 A number of pilot-based channel estimation techniques are investigated for a multiple antenna system using the zero-forcing algorithm. The techniques are tested in typical indoor and outdoor (vehicular) channels.
Dowler, ASH, Nix, AR
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International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Egg Incubator Temperature and Humidity Control Using Fuzzy Logic Controller
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Controlling room temperature and humidity in egg incubator systems is a process that is widely used in the farm. A good temperature and humidity for standard egg hatching is between 35℃ – 40℃, with humidity in the machine ranging from 50%-60%.
Yulian Zetta Maulana +2 more
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