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Root mean square
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This study is to evaluate the precision of some new global Earth Gravitational Models in the East Vietnam Sea, selecting the best model. The method and the program for calculating Free air gravity anomaly from the global earth gravitational model have been researched and developed. Evaluation of the precision of the models is done by comparing the models with ship-derived gravity anomalies. Data with anomalous signs are detected and removed when the deviation exceeds three times the root mean square deviation.
13p
dianmotminh02
03-05-2024
1
1
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Radiotherapy has been widely used to treat various cancers, but its efcacy depends on the individual involved. Traditional gene-based machine-learning models have been widely used to predict radiosensitivity.
15p
vileonardodavinci
23-12-2023
6
3
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This study develops and validates a short-term PV power forecasting model by using the combination of a genetic algorithm (GA) and Long Short Term Memory (LSTM). The performance of the proposed model is compared with LSTM baseline model by three errors (Root mean square error(RMSE), Mean absolute error (MAE), and Mean absolute percentage error (MAPE)) in two case studies.
6p
vijeff
01-12-2023
4
3
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This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. The accuracy of the models was assessed using numerous performance indexes such as the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and coefficient of determination (R2).
10p
visharma
20-10-2023
3
3
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Estimation of Construction Price Index (CPI) is important for a market economy and it is a measure to manage construction investment costs. This is a tool to help organizations and individuals to reduce the effort and management of expenses for construction projects by reducing time of procedures for calculating and adjusting the total investment for the estimation and evaluation of contract price.
11p
visharma
20-10-2023
7
4
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The performance of the proposed RF model is evaluated using three statistical measurements: root mean squared error (RMSE), mean absolute error (MAE), and correlation coefficient (R). The results show that the RF model has high predictive accuracy with an RMSE of 210 cnt/h, an MAE of 121 cnt/h, and an R of 0.90. The performance of the RF model is also compared with a linear regression model and shows superior accuracy.
9p
visharma
20-10-2023
8
4
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Nghiên cứu này trình bày về việc chẩn đoán sức khỏe kết cấu của dầm chịu tải trọng di động thông qua dữ liệu đường ảnh hưởng của chuyển vị. Ứng xử của một kết cấu dầm đồng chất dài 2,2 m chịu tải trọng di động được tính toán dựa trên phương pháp phần tử hữu hạn. Đánh giá tình trạng hư hỏng bao gồm chẩn đoán sự xuất hiện, vị trí và mức độ suy giảm độ cứng.
19p
viengels
25-08-2023
10
5
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In this article, an RF model is developed in predicting the slump and strength of concrete using mixed mineral admixtures from blast furnace slag and silicafume. The criterions to evaluate the accuracy of the models are the R squared (R2 ) and the root mean square error (RMSE).
13p
viengels
25-08-2023
10
3
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Estimating punching shear capacity (PSC) of steel fibre reinforced concrete slabs (SFRCS) is a crucial task in structural design. This study investigates the performances of artificial neural networks trained by the adaptive moment estimation (Adam) method in dealing with the task of interest. To alleviate overfitting problem, decoupled weight decay (AdamW) and L2 regularization (AdamL2) are used. A dataset including 140 samples has been used to train and verify the machine learning approaches.
5p
nhanchienthien
25-07-2023
6
3
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Artificial neural network (ANN) has been widely applied in oil and gas exploration and production. This study presents the results of predicting the distribution of Late Oligocene sandstones in the Cuu Long basin based on the application of ANN and seismic attributes.
8p
viwolverine
07-07-2023
7
3
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In recent years, there has been a surge in interest in the subject of machine learning for prediction. In this study, a temperature dataset of Vietnam’s stations is examined in order to anticipate temperature. Several forecasting models are used to accomplish this goal.
11p
vipettigrew
15-03-2023
6
3
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The study "Application of SARIMA model to forecasting the natural rubber price in the world market" was conducted to develop a forecasting model to predict the price natural rubber in the world market by using the Seasonal Autoregressive Integrated Moving Average (SARIMA).
7p
tieuvulinhhoa
22-09-2022
6
3
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PM2.5 is the particulate matter with aerodynamic diameter of 2.5 µm or less, which is the root cause of haze event. Although there is no detailed standard for haze episode, haze is generally defined as a phenomenon characterized by visibility of ~8km, high concentration of particulate matter, relative humidity of less than 90%, following by certain weather conditions of very low wind speed of < 1 m/s and suppressed planetary boundary layer height.
3p
vipriyankagandhi
27-07-2022
1
1
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Lecture Introduction to Circuits for ECE - Lesson 39: Power in AC systems. The main topics covered in this chapter include: power system, instantaneous power and average power, root mean square (RMS) value, power delivered to a capacitive load, power delivered to an inductive load,...
10p
linyanjun_2408
23-04-2022
10
1
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The system reached equilibrium at around 0.1 µs. The overall 3-dimensional structure was well preserved throughout the simulation. Local residue-based fluctuations were in good agreement with fully atomistic MD simulations. Four distinct snapshots were selected and reverse-mapped to all-atom representations with around 65,000 atoms. Each reverse-mapped system was later subjected to 100 ns of MD simulation for equilibration.
15p
langthannam
29-12-2021
16
0
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The user preference can be predicted e®ectively by item-based CF. The evaluation results show that our proposed music recommender system performs better than the state-of-the-arts methods in terms of Root Mean Squared Error.
16p
redemption
20-12-2021
35
7
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The purpose of this paper is to forecast monthly gasoline prices in Jordan by applying Gaussian process regression on monthly prices of two types of gasoline (octane-90 and octane-95) during the period January 2008–December 2019. Accurately predicting gasoline prices have several fiscal policy implications concerning fuel subsidies and taxes. Also, they affect the consumption and the production of decisions. Moreover, they are crucial for designing and analyzing environmental policies.
8p
caygaocaolon11
18-04-2021
10
1
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This work addressed a parameter optimization to simultaneously decrease the root mean square roughness (Rq) as well as the thickness of the white layer (TW) and improve the material removal rate (MRR) for the wire electro-discharge machining (WEDM) of a stainless steel 304 (SS304). The factors considered are the discharge current (C), the gap voltage (VO), the pulse on time (POT), and the wire drum speed (SP). The interpolative radius basic function (RBF) is applied to show the correlation between the varied factors and WEDM performances measured.
17p
nguaconbaynhay11
07-04-2021
13
0
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Forecasting solar irradiance has been an important topic and a trend in renewable energy supply share. Exact irradiance forecasting could help facilitate the solar power output prediction. Forecasting improves the planning and operation of the Photovoltaic (PV) system and the power system, then yields many economic advantages. The irradiance can be forecasted using many methods with their accuracies.
6p
caygaocaolon10
05-02-2021
23
1
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Thuộc tính địa chấn biên độ trung bình bình phương (Root Mean Square Amplitude), biên độ cực đại (Maximum Amplitude), và tổng biên độ dương (Sum of Positive Amplitude) phản ảnh đặc điểm phân bố của trầm tích cacbonat ám tiêu Miocen giữa, khu vực lô 04-3, bể Nam Côn Sơn một cách rõ rệt nhất. Cacbonat Miocen giữa phân bố phổ biến ở hai mặt phản xạ P1và P2, trong phạm vi mỗi mặt phản xạ, trầm tích cacbonat tập trung ở xung quanh các đới nâng, điển hình như các cấu tạo Thiên Ưng – Mãng Cầu, Đại Hùng và Bồ Câu.
10p
larachdumlanat129
14-01-2021
29
3
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