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mean square error method

Motion Object Detection Using Mean Square Error Method

Motion Object Detection Using Mean Square Error Method

... Difference Method (FDM),Background Subtraction Method (BSM), and Adaptive Background Subtraction Method (ABSM) is used for motion object detection but these methods could not recognize rapid scene ...

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Orthogonal Least Square with Boosting for Regression

Orthogonal Least Square with Boosting for Regression

... training mean square error. A weighted optimization search method has been developed based on boosting to append regressors one by one in an orthogo- nal forward regression ...

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Mean square error optimal weighting for multitaper cepstrum estimation

Mean square error optimal weighting for multitaper cepstrum estimation

... Cepstrum-based methods are important in many applica- tions, especially speech analysis [1], and also in other areas such as, e.g., seismic deconvolution [2], vibratory diagno- sis using mechanical signals [3], and ...

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Implementation of Inventory Management System in a Furniture Company: A Real Case study

Implementation of Inventory Management System in a Furniture Company: A Real Case study

... by mean squared error (MSE), root mean square error (RMSE), mean absolute deviation (MAD), mean absolute error (MAE) and mean absolute percentage ...

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Development of a Computer Aided System for Swine Flu Prediction using Computional Intelligence

Development of a Computer Aided System for Swine Flu Prediction using Computional Intelligence

... This section covers the cross authentication between existing and proposed techniques. Some familiar algorithms parameters have been chosen to show that the performance of the proposed algorithm is superior to the ...

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A Comparative Study in Predicting Colon Rectum Cancer using Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) Models

A Comparative Study in Predicting Colon Rectum Cancer using Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) Models

... extrapolation method for ...the Mean Absolute Error (MAE), Mean Square Error (MSE), Mean Absolute Percentage Error (MAPE) and Root Mean Square ...

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Reconstruction of freehand 3D ultrasound based on kernel regression

Reconstruction of freehand 3D ultrasound based on kernel regression

... Root mean square error (RMSE) is used for the quantitative ...our method can reconstruct image with less artifacts and higher quality than the classical VNN, PNN, Spline, PT methods and the ...

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Robustness of Bootstrap Estimators to Influential Observations

Robustness of Bootstrap Estimators to Influential Observations

... bootstrap mean and standard ...Resampling method under different levels of ...the mean, standard error, absolute bias, mean square error and the root mean ...

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Initialization of Weights in Deep Belief Neural
Network Based on Standard Deviation of Feature
Values in Training Data Vectors

Initialization of Weights in Deep Belief Neural Network Based on Standard Deviation of Feature Values in Training Data Vectors

... proposed method. Since this method is based on the standard deviation of the features, two sets of data have been selected having a significant difference in the standard deviation of their ...[20] ...

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A new formula to determine the optimal 
		dataset size for training neural networks

A new formula to determine the optimal dataset size for training neural networks

... proposed method for root mean square error (RMSE) and time usage in radial basis function network ...proposed method yielded a promising result with an average over 50 percent reduction ...

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Performance and Analysis of Channel Estimation Techniques for LTE Downlink System under Fading with Mobility

Performance and Analysis of Channel Estimation Techniques for LTE Downlink System under Fading with Mobility

... least square error (LSE) and minimum mean square error (MMSE) channel estimation techniques are presented for long term evolution ...Least Square Error (LSE) and the ...

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A comparison of data mining methods for mass real estate appraisal

A comparison of data mining methods for mass real estate appraisal

... the mean relative error rate by 23% when compared with the popular method of assessing the average price per square meter in each neighborhood, outperforming ...

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Performance Evaluation of Watermark ImageQuality by Using DCT with Arnold transform

Performance Evaluation of Watermark ImageQuality by Using DCT with Arnold transform

... proposed method in MATLAB tool u2013a. The recommended method is applied on different ...parameters Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), structural similarity ...

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Meshless Method Based on Moving Kriging Interpolation for Solving Simply Supported Thin Plate Problems

Meshless Method Based on Moving Kriging Interpolation for Solving Simply Supported Thin Plate Problems

... Meshless method choosing Heaviside function as a test function for solving simply supported thin plates under various loads as well as on regular and irregular domains is presented in this ...relative error ...

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RMSE (Root Mean Square Error), respectively.

RMSE (Root Mean Square Error), respectively.

... forecasting method and identified the most suitable forecasting period by considering the smallest values of AIC and RMSE, ...the method were suitable for short term periods ranging from 28 days, 5 weeks, 6 ...

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Mean Square Error of Prediction in the Bornhuetter-Ferguson Claims Reserving Method

Mean Square Error of Prediction in the Bornhuetter-Ferguson Claims Reserving Method

... and cðy; fÞ ¼ lny. It differs from the Poisson model in that the variance is not equal to the mean. This model was introduced for claims reserving in a Bayesian context by Verrall (1990, 2000, 2004) and Renshaw ...

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A Novel Method for Partially Adaptive Broadband Beamforming

A Novel Method for Partially Adaptive Broadband Beamforming

... ensemble mean square residual error / [dB].. 30 CCD method SVD method subband select...[r] ...

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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED 
METHOD

SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD

... like mean square error, mean absolute error, sum square error and root mean square error obtained using feed forward networks are listed in the table ...

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A De Noising Method for Track State Detection Signal Based on EMD

A De Noising Method for Track State Detection Signal Based on EMD

... consecutive mean square error, a de-noising method for IMU accelera- tion signals based on empirical mode decomposition (EMD) was ...This method can divide the intrinsic mode functions ...

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Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier

Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier

... learning method which is combined with different meta classifier ...as Mean Absolute Logarithmic Error (MALE), Root Mean Square Logarithmic Error (RMSLE), Mean Absolute ...

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