Results 101 to 110 of about 1,045,606 (193)
Cascade Modelling for Predicting Solubility Index of Roller Dried Goat Whole Milk Powder [PDF]
, 2013 The aim of this work was to investigate the prediction ability of Cascade artificial neural network (ANN) models for solubility index of roller dried goat whole milk powder. The input variables for ANN model were: loose bulk density, packed bulk density,
Goyal, G. K. (Gyanendra) +1 more
core
OPERATIONAL VALIDATION AND VERIFICATION OF ALADIN FORECAST IN METEOROLOGICAL AND HYDROLOGICAL SERVICE OF CROATIA [PDF]
, 2015 The numerical forecast using ALADIN model in Meteorological and Hydrological Service of Croatia is run operationally since July 2000. Over the years, various methods of validation and verification of the operational forecast have been applied.
Alica Bajić +7 more
core +1 more source
root mean square error of cross validation
Citation: 'root mean square error of cross validation' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10109 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual ...
openaire +1 more source
A Bayesian vector error corrections model of the U.S. economy [PDF]
This paper presents a small-scale macroeconometric time-series model that can be used to generate short-term forecasts for U.S. output, inflation, and the rate of unemployment.
Tom Stark
core
JTAM (Jurnal Teori dan Aplikasi Matematika)Neural Network (NN) is an information processing system that has characteristics similar to biological neural networks. One of the algorithms in NN is Backpropagation Neural Network (BPNN).
Mislan Mislan, Andrea Tri Rian Dani
doaj +1 more source
Research on time series prediction of hybrid intelligent systems based on deep learning
Intelligent Systems with ApplicationsPower forecasting plays a crucial role in the operation of smart grid system, which is indispensable for making the operation plan of power system, improving economic efficiency and ensuring the quality of power supply.
Shang Jin +3 more
doaj +1 more source
Stop using root-mean-square error as a precipitation target!
Root-mean-square error (RMSE) remains the default training loss for data-driven precipitation models, despite precipitation being semi-continuous, zero-inflated, strictly non-negative, and heavy-tailed. This Gaussian-implied objective misspecifies the data-generating process because it tolerates negative predictions, underpenalises rare heavy events ...
openaire +2 more sources
The Order Barrier for Strong Approximation of Rough Volatility Models
, 2016 We study the strong approximation of a rough volatility model, in which the log-volatility is given by a fractional Ornstein-Uhlenbeck process with Hurst parameter ...
Neuenkirch, Andreas, Shalaiko, Taras
core
MODELING ADVERTISING CARRYOVER IN FLUID MILK: COMPARISON OF ALTERNATIVE LAG SPECIFICATIONS [PDF]
The performance of restricted estimators such as Almon and Shiller in modeling advertising carryover is tested and compared to the unrestricted OLS estimator, using 1971-1988 monthly New York City fluid milk market data.
Chang, Hui-Shung (Christie) +2 more
core +1 more source
Fitting Heterogeneous Lanchester Models on the Kursk Campaign
, 2019 The battle of Kursk between Soviet and German is known to be the biggest tank battle in the history. The present paper uses the tank and artillery data from the Kursk database for fitting both forms of homogeneous and heterogeneous Lanchester model ...
Das, Sumanta Kumar
core