On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression [PDF]
In this paper, we exploit the properties of mean absolute error (MAE) as a loss function for the deep neural network (DNN) based vector-to-vector regression.
Jun Qi +4 more
semanticscholar +1 more source
Indian natural rubber price forecast–An Autoregressive Integrated Moving Average (ARIMA) approach
The objective of this study was to forecast the price of natural rubber in India during April 2019 to March 2020 by employing autoregressive integrated moving average (ARIMA).
SHYJU MATHEW, RAMASAMY MURUGESAN
doaj +1 more source
A time series analysis for sales of chicken based food product [PDF]
This study provides a time series analysis and interpretation of the output for forecast sales of chicken based food product of weekly sales data. These data were collected directly from the outlet shop of one factory in Malacca started from January 2015
Alma, Ozlem Gurunlu +5 more
core +1 more source
Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing [PDF]
Wind serves as natural resources as the solution to minimize global warming and has been commonly used to produce electricity. Because of their uncontrollable wind characteristics, wind speed forecasting is considered one of the best challenges in ...
A. Rahman, Nur H. +5 more
core +1 more source
Mid-Term Residential Load Forecasting Based on Neighborhood Component Analysis Feature Selection [PDF]
Residential load forecasting plays an important role in management and planning in modern smart grids. In planning to keep demand and supply balanced, accurate residential load forecasting is needed.
Iman Bahadornejad +4 more
doaj +1 more source
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation [PDF]
Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other predictor variables.
Davide Chicco +2 more
doaj +2 more sources
Developing Novel Robust Loss Functions-Based Classification Layers for DLLSTM Neural Networks
In this paper, we suggest improving the performance of developed activation function-based Deep Learning Long Short-Term Memory (DLLSTM) structures by employing robust loss functions like Mean Absolute Error $(MAE)$ and Sum Squared Error $(SSE)$ to ...
Mohamad Abou Houran +5 more
doaj +1 more source
This review article attempts to evaluate the accuracy of intraocular lens power calculation formulae in short eyes. A thorough literature search of PubMed, Embase, Cochrane Library, Science Direct, Scopus, and Web of Science databases was conducted for ...
Ankur K Shrivastava +4 more
doaj +1 more source
Automated and Optimized Regression Model for UWB Antenna Design
Antenna design involves continuously optimizing antenna parameters to meet the desired requirements. Since the process is manual, laborious, and time-consuming, a surrogate model based on machine learning provides an effective solution.
Sameena Pathan +3 more
doaj +1 more source
Quantitative Kinetic Energy Estimated from Disdrometer Signal [PDF]
The kinetic energy of the rain drops was predicted in a relation between the rain rate and rain quantity, derived directly from the rain drop size distribution (DSD), which had been measured by a disdrometer located in the eastern state of Alagoas ...
Kwon, Byung-Hyuk +4 more
core +1 more source

