average absolute error
The Application of Deep Learning in Airport Visibility Forecast
... This paper attempts to use the depth neural network for airport visibility pre- diction, using nearly ten years’ data for model prediction. The results of the model forecast show that it can reflect the trend of the ...
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Mathematical Modeling with Local Volatility Surface by Radial Basis Function Approach
... the absolute error. From table (1) the average absolute error for general radial basis function is ...maximum absolute error for general radial basis function is ...the ...
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Exploring amazonian fats and oils blends by computational predictions of solid fat content
... Coupling experimental data, thermodynamic models and computational tools can reduce time and cost in the evaluation of innovative fats and oils. As the solid fat content is a key property that determines the application ...
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Analyzing and Forecasting Admission data using Time Series Model
... Problems that will be faced by higher education institutions, especially in the phase of new student admissions. Careful planning and strategies are needed in dealing with the process of admission of new students. The ...
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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>
... prediction error and the preoperative predic- tion error; this accounted for the correlation between the two errors recorded per eye (one for IA and the other for the preoperative ...
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EFFICIENT REQUIREMENT PRIORITIZATION BASED ON ENHANCED MULTI VERSE OPTIMIZER
... the average magnitude of SURF features computed around matched dominant points of successive frames is a linear function of a distance between camera and ...
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Cervical spine reposition errors after cervical flexion and extension
... of muscle spindles in the upper cervical region are not reflected in the reposition errors found in the upper cer- vical region. Larger reposition errors were demonstrated in the upper cervical region compared to the ...
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Assessment of the Impact of Probe Head Hysteresis on the Accuracy of Five-Axis Coordinate Measuring Systems
... Probe Error (PE) which can be observed using this method is a sum of many factors such as: deformations of tip ball occurring during contact process, stylus de- formation under the measuring force, influence of ...
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... After analyzing the results of testing the algorithms we can say that every techniques perform best result according to their parameters means if we take accuracy than decision tree is best but if we use mean ...
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How Many Electrodes Are Really Needed for EEG Based Mobile Brain Imaging?
... on average an EEG montage with as few as 35 channels may be sufficient to record the two most dominate electrocortical sources (temporal and spatial R2 > ...
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Impact of HF radar current gap-filling methodologies on the Lagrangian assessment of coastal dynamics
... Time series of the spatial average of the pixel-by-pixel absolute relative error of the LCS computed from the three filled HFR velocities with respect to LCS obtained from the reference [r] ...
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Respiratory function monitoring using a real-time three-dimensional fiber-optic shaping sensing scheme based upon fiber Bragg gratings
... volume error for the algorithm was calculated for the known static ...experimental error bars in ...Another error that is inherent in the design of the array is due to the fact that each sensor ...
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“MODELING AND FORECASTING OF THE STOCK MARKET VOLATILITY OF S&P CNX NIFTY 50 INDEX OF INDIA USING GARCH FAMILY MODELS”
... Squared Error (RMSE), the Mean Absolute Error (MAE), the Mean Absolute Percent Error (MAPE) and the Theil Inequality Coefficient ...the error measurements is deliberated to be ...
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The potential and limits of lay post editing in an online community
... that remain in the post-edited output and how they affect the quality of the same are presented in order to propose strategies for maximising the potential of a lay community as post-editors. Table 2 dis- plays the ...
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Tuning Variable Selection Procedures and Score Tests for Dose Effect in the Presence of Non-Responders.
... From the simulation with 150 observations and 21 predictors, we see that in terms of model error, Tune is the best when the true model is simple (H0-H2). It is a little better than the other three methods when the ...
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IMAGE COMPRESSION OF RADIOGRAPH USING NEURAL NETWORK AND WAVELET
... When we have done selection of best wavelet for medical Radiographs. Then to compress input image with each wavelet with fixed CR. After that to find the following parameters to make comparison MSE, PSNR, Correlation, ...
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Exploring Consensus in Machine Translation for Quality Estimation
... For DE-EN, EN-DE and EN-ES, the various systems appeared to be less dissimilar in terms of BLEU, when compared to ES-EN. For ES-EN, the difference between the two MT systems was higher than for other language pairs (0.12 ...
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Modelling and PSO Fine-tuned PID Control of Quadrotor UAV
... Abstract—This paper describes nonlinear dynamics model of x-configuration quadrotor using Newton-Euler modelling technique. To stabilize quadrotor attitude (roll (ϕ), pitch (θ), yaw (ψ)) during hovering, a PID controller ...
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Estimation of Location (μ) and Scale (λ) for Two Parameter Half Logistic Pareto Distribution (HLPD) by Least Square Regression Method
... the Average Estimate (AE), Variance (VAR), Mean Square Error (MSE) and Relative Absolute Bias (RAB) and Relative Error under in order to obtain the Median Ranks Method estimators of Scale ( ...
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Software Defect Prediction Tool based on Neural Network
... Percentage error = | average predicted outputs – average actual outputs | / average actual outputs *100 Percentage error = 11.91% Percentage accuracy = 100 – percentage error Percentage [r] ...
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