mean absolute percentage error (MAPE)
Optimum design of chamfer masks using symmetric mean absolute percentage error
... symmetric mean absolute percentage error, which attempts to address some ...the absolute percentage errors in a set of measurements and offers interesting mathematical properties ...
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Statistical analysis on rainfall and discharge data : in study area in Johor river basin
... Best fitted model were analyze using statistical criteria of Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE) The best model used for forecasting the r[r] ...
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Regression Modelling and Neural Computing for Predicting the ultimate Tensile Strength of Friction Stir Welded Aerospace Aluminium Alloy
... Average error % (neural network) is equal to 4.31 % and Average error % (linear regression) is equal to ...the mean absolute percentage error (MAPE) values as well as the ...
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A STUDY ON ARRIVALS AND PRICES OF RED CHILLIES IN GUNTUR MARKET YARD– A TIME SERIES APPROACH
... lowest Mean Absolute Percentage Error (MAPE), lowest Mean Absolute Error (MAE), and lowest Root Mean Square Error (RMSE) criterion, Bayesian Information ...
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ARIMA: An Applied Time Series Forecasting Model for the Bovespa Stock Index
... Due to the relative uncertainty involved with the variables which affect financial market behavior, forecasting future variations in a time series of the Brazilian stock market Index (Ibovespa) can be considered a ...
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ARIMA Modelling to Forecast and Analyze Indian Sectoral Stock Prices
... (root mean square error) and MAPE (mean absolute percentage error) to measure forecast accuracy, it is shown that the ARIMA model build based on past three months data is 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
... of error estimates such as Mean Absolute Error (MAE), Mean Square Error (MSE), Mean Absolute Percentage Error (MAPE) and Root Mean Square ...
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Development of ANN and AFIS Models for Age Prediction of In-Service Transformer Oil samples
... age, error, %error and mean absolute percentage error ...age, error, %error and mean absolute percentage error ...
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Volume 3, Issue 3, March 2014 Page 365
... Percent error for each of the observations for that specific item and combination of independent parameter values has been ...percent error has been calculated by dividing the residuals with the actual ...
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An Approach to Identify a Model for Efficient Prediction of Exchange Rates Using Setty Volatile Index (SVI)
... root mean square error, mean absolute percentage error, average mean absolute percentage error over US-RUPEE dataset in case of long term prediction ...
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Call option price function in Bernstein polynomial basis with no arbitrage inequality constraints
... Table 1 Root mean square error RMSE, mean absolute error MAE, and percentage relative mean error PRME of the estimated call option price function Price and the implied volatility functio[r] ...
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<p>Retrospective analysis of an intraoperative aberrometry database: a study investigating absolute prediction in eyes implanted with low cylinder power toric intraocular lenses</p>
... implantation of only one low-power toric IOL model. In addition, surgeons could have used any of several formulae to make a preoperative choice of lens. These analyses group together data from all formulae. Only a few ...
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The use of sound intensity for characterisation of reflected energy in small rooms
... Anatomically speaking, the equivalent rectangular bands represents sections of length approximately of 1.3 mm, which imaginarily divide inside our basilar membrane. The equivalent rectangular bands act as a filter bank ...
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Variations in Tomotherapy Beam Outputs: A Multiple Institutional Investigation
... So far, many national and international dosimetry audits have been reported [3]-[14]. However, there is no large-scale investigation that focused on tomo- therapy beam outputs, and the variation is not clear. During ...
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Assessment of the Impact of Probe Head Hysteresis on the Accuracy of Five-Axis Coordinate Measuring Systems
... The difference in obtained lengths is con- sidered as hysteresis error. Authors decided to perform this test for five axis measuring sys- tem working both in standard 3 axis mode and utilizing rotary movements of ...
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IEA wind recommended practices for the implementation of wind power forecasting solutions part 2 and 3 : designing and executing forecasting benchmarks and evaluation of forecast solutions
... The simplest form of forecast verification is visual in- spection. Does the forecast look right? Does it have the same properties as measurements of the target variable? For instance, a wind power forecasting tool should ...
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The Implementation of Forecasting Method by Incorporating Human Judgment
... forecasting error method that is used in this research is Mean Absolute Error (MAE), Mean Square Error (MSE), and Standard Deviation error ...forecasting error ...
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APPLICATION OF FUZZY LOGIC IN SHORT TERM LOAD FORECASTING (ROORKEE REGION)
... The load forecasting has always been important for operational planning of electric system. Proper load forecasting with less percentage of error has to be made with the help of artificial intelligence ...
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IMAGE SEGMENTATION USING FUZZY CLUSTERING ALGORITHM
... This section explains the result obtained after performing FCM and KWFCM on the satellite images. For comparing the performance of the algorithm, we used an experimental database which consists of 30 satellite images and ...
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A robust and forward-Looking industrial production indicator
... (YoY) percentage difference – the difference between this month’s figure and the figure for the same month last year divided by the latter – to remove seasonality (Figure 1b, 2b and ...
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