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!
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
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
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
Root Mean Square Error as a Robust Index of Gradient Speech Perception
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
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
Reliability and Discriminant Ability of an Instrumented Timed Up and Go Test in People With Postsurgical Orthopedic Conditions: Quantitative Study. [PDF]
Giardini M +5 more
europepmc +1 more source
Comparison of two-stage methods for count data in Mendelian randomization: a simulation study. [PDF]
Appah M +6 more
europepmc +1 more source
Denoising autoencoder framework for reconstructing missing periodontal clinical records. [PDF]
Mathew A, Yadalam PK.
europepmc +1 more source

