Results 111 to 120 of about 1,373,260 (211)

Forecasting Maximum Water Level Data for Post Sangkuliman using An Artificial Neural Network Backpropagation Algorithm

open access: yesJTAM (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

Stop using root-mean-square error as a precipitation target!

open access: yes
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

Research on time series prediction of hybrid intelligent systems based on deep learning

open access: yesIntelligent Systems with Applications
Power 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

The Order Barrier for Strong Approximation of Rough Volatility Models

open access: yes, 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]

open access: yes
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

Root Mean Square Error as a Robust Index of Gradient Speech Perception

open access: yes
This study introduces the root mean square error (RMSE) as a new metric for quantifying gradient speech perception in visual analog scale (VAS) tasks. By measuring the deviation of individual responses from an ideal linear mapping between stimulus and percept, RMSE offers a theoretically transparent alternative to traditional metrics like slope ...
Bing Cheng   +4 more
openaire   +1 more source

Fitting Heterogeneous Lanchester Models on the Kursk Campaign

open access: yes, 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  

Comparison of two-stage methods for count data in Mendelian randomization: a simulation study. [PDF]

open access: yesJ Comp Eff Res
Appah M   +6 more
europepmc   +1 more source

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