Mean square error
RMSE (Root Mean Square Error), respectively.
... Abstract—The purposes of this research are to find a model to forecast the electricity consumption in a household and to find the most suitable forecasting period whether it should be in daily, weekly, monthly, or ...
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Reyni’s Entropy and Mean Square Error for Improving the Convergence of Multilayer Backprobagation Neural Networks : A Comparative Study
... the error between two variables: typically one is the output of the learning system and the other is the ...usual mean square error(MSE) minimization principle is substituted by the ...
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Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation
... BOUNDS FOR THE MEAN SQUARE ERROR OF RELIABILITY ESTIMATION FROM GAMMA DISTRIBUTION IN PRESENCE OF AN OUTLIER OBSERVATION M.E.. GHITANY and W.H.[r] ...
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Fractional Fourier Transform Algorithms for Interference Suppression: Rotational Parameter and Mean Square Error Comparison
... Minimum mean-square error (MMSE) filtering in the Fractional Fourier Transform (FrFT) domain, or MMSE-FrFT, performs better interference suppression (IS) over the fast Fourier Transform (FFT) when ...
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A Weighted Mean Square Error Approach to the Robust Optimization of the Surface Roughness in an AISI 12L14 Free-Machining Steel-Turning Process
... the mean square error, which allows the response mean value to approach a predetermined target value by cancelling variations thereof through a weighted ...
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Scalable kernel-based minimum mean square error estimate for light-field image compression
... minimum mean square error estimation (MMSE) method to further improve the coding efficiency of light-field image and accelerate the prediction ...
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A COMPARATIVE ANALYSIS OF MEAN SQUARE ERROR ADAPTIVE FILTER ALGORITHMS FOR GENERATION OF MODIFIED SCALING AND WAVELET FUNCTION
... using mean square error adaptive filter RLS algorithm has been ...Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) ...
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Minimum Mean Square Error Single User Detection of SDMA Signals Transmitted over Nakagami Fading Channels
... Abstract— In this contribution the performance of a space- division multiple-access (SDMA) system is investigated, when the space-time block coded signals based on two transmit antennas are transmitted over Nakagami- m ...
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Modification of the mean-square error principle to double the convergence speed of a special case of Hopfield neural network used to segment pathological liver color images
... the mean-square error in formulating the segmentation problem of multi- dimensional medical ...the error in the energy function of the problem, helped SCHNN to converge twice as fast as the ...
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Automatic Multiple Face Recognition and Annotation Based on Principle Component Analysis cum Least Mean Square Error (PLMSE)
... ABSTRACT: Face recognition has received substantial attention from researchers in biometrics, pattern recognition field and computer vision communities. Major drawback in old work was that this method was design to ...
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Zero Forcing and Minimum Mean Square Error Multiuser Detection in Generalized Multicarrier DS CDMA Systems for Cognitive Radio
... minimum mean-square error MUD (MMSE-MUD) in the MC DS-CDMA ...bit- error rate (BER) performance of the MC DS-CDMA systems employing the proposed various MUDs is investigated by ...
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Bias and Mean Square Error of Reliability Estimators under the One and Two Random Effects Models: The Effect of Non Normality
... The coefficient of reliability is often estimated from a sample that includes few subjects. It is therefore expected that the precision of this estimate would be low. Measures of precision such as bias and variance ...
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PERFORMANCE ANALYSIS OF ZERO FORCING AND MINIMUM MEAN SQUARE ERROR EQUALIZERS ON MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM ON A SPINNING VEHICLE
... The effect of Inter Symbol Interference (ISI) in multipath time –varying dispersive channel is more severe than noise associated with the system. One method to abate this ISI is by implementing equalization or channel ...
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JPEG Image Compression using DCT and DHT and Comparison of Both Techniques based on Mean Square Error and Peak Signal to Noise Ratio
... In this paper, compression of image is carried out using DCT and DHT. Using MATLAB, the PSNR and MSE of compressed and reconstructed image is found out. While comparing the results on compressed and reconstructed images ...
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Mean Square Error of Prediction in the Bornhuetter-Ferguson Claims Reserving Method
... then derived optimal credibility weighted averages between the CL and the BF method. However, in most practical applications the claims development pattern and the CL factors are unknown and need to be estimated from the ...
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Mean square error optimal weighting for multitaper cepstrum estimation
... interesting to note that the error of the single Hamming window, HAMM, is almost the same for all speakers. This is in concordance with the expressions given in [6,17], where the bias is approximately zero and the ...
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ICI cancellation using normalized minimum mean square error in MIMO OFDM systems
... The quality of transmit pre-coding to control multiuser interference is degraded due to the coarse knowledge of CSI at the transmitter. Hence channel estimation technique employing reliable soft symbols to improve the ...
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Mean Square Error of Blind Channel Estimation Using a Constant Modulus Algorithm
... paper, Mean Square Error (MSE) of blind channel estimation using a constant modulus algorithm in 16-subcarrier OFDM system over frequency selective fading channel has been ...
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Nonasymptotic bounds on the mean square error for MCMC estimates via renewal techniques
... Abstract The Nummellin’s split chain construction allows to decompose a Markov chain Monte Carlo (MCMC) trajectory into i.i.d. “excursions”. Regenerative MCMC algorithms based on this technique use a random number of ...
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Motion Object Detection Using Mean Square Error Method
... Abstract :- Smart CCTV (Closed-Circuit Television) technology has increasingly been developed in the last few years to judge the situation and notify the administer or take immediate action for security and surveillance ...
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