ANALISIS HASIL PREDIKSI MAGNITUDO GEMPA DI WILAYAH KOTA PADANG MENGGUNAKAN TEKNIK RANDOM FOREST
The topic of earthquake prediction is an interesting one to research. As one of the natural disasters, earthquakes are included in natural disasters that can cause considerable damage.
Ade Fauzan, Defri Ahmad
doaj +1 more source
Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks
Submitted to the GPTP ...
Nathan Haut +2 more
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Linear Atomic Cluster Expansion Force Fields forOrganic Molecules: beyond RMSE [PDF]
We demonstrate that fast and accurate linear force fields can be built for molecules using the Atomic Cluster Expansion (ACE) framework. The ACE models parametrize the Potential Energy Surface in terms of body ordered symmetric polynomials making the functional form reminiscent of traditional molecular mechanics force fields.
Kovács, Dávid Péter +6 more
openaire +4 more sources
Comparison of temporal and spatial patterns of water quality parameters in Anzali Wetland (southwest of the Caspian Sea) using Support vector machine model [PDF]
Urgent is growing to have reliable information from the country's water resources. In recent years, data mining models such as artificial neural network (ANN), gene expression programming, Bayesian network, machine algorithms, such as a support vector ...
Maryam Fallah +3 more
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Прогнозування короткочасних даних для крипторинку
Розвиток криптовалют та криптобірж викликає необхідність розроблення різноманітних інформаційних технологій, необхідних для створення інструментарію аналізу, торгівлі, а також для автоматизації інших бізнес-процесів у фінансових установах.
V. Duda, O. Rolik
doaj +1 more source
Comparison of Rice Price Forecasting Using the ARIMA Method on Amazon Forecast and Sagemaker
Rice is one of the main commodities of trade in Indonesia. PT Food Station as the management company of Cipinang Rice Main Market every day publishes data on price, type of rice and the amount of rice that enters and exits Jakarta area.
Is Mardianto +3 more
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Os Modelos Digitais de Elevação (MDE) possibilitam identificar resultantes geomorfológicas e modelar a dinâmica dos processos da superfície terrestre. Identificar e analisar a precisão vertical dos MDE é pertinente para compreender as possibilidades de ...
Heitor Carvalho Lacerda +4 more
doaj +1 more source
Comparison of GCM Precipitation Predictions with Their RMSEs and Pattern Correlation Coefficients [PDF]
This study evaluated 20 general circulation models (GCMs) of the Coupled Model Intercomparison Project, Phase 5 (CMIP5), which provide the prediction results for the period of 2006 to 2014, the period from which the observation data (the Global Precipitation Climatology Project (GPCP) data) are available.
Chulsang Yoo, Eunsaem Cho
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RegBoost: a gradient boosted multivariate regression algorithm
PurposeInspired by the basic idea of gradient boosting, this study aims to design a novel multivariate regression ensemble algorithm RegBoost by using multivariate linear regression as a weak predictor.Design/methodology/approachTo achieve nonlinearity ...
Wen Li, Wei Wang, Wenjun Huo
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Randomizing the trapezoidal rule gives the optimal RMSE rate in Gaussian Sobolev spaces
Randomized quadratures for integrating functions in Sobolev spaces of order α
Takashi Goda +2 more
openaire +3 more sources

