Results 1 to 10 of about 145,056 (191)
Forecast Error Calculation with Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE)
JINAV: Journal of Information and Visualization, 2020 Calculation errors in forecasting a data are very important from a forecasting process. The high level of forecasting accuracy will affect the level of confidence in forecasting decision making.
Ansari Saleh Ahmar
openaire +2 more sources
International Journal of Recent Technology and Engineering, 2019 Multiple linear regressions (MLR) model is an important tool for investigating relationships between several response variables and some predictor variables. This method is very powerful and commonly used in finance, economic, medical, agriculture and many more.
Awang Nawi, Mohamad Arif +5 more
openaire +2 more sources
MSE FINDR: A Shiny R Application to Estimate Mean Square Error Using Treatment Means and Post Hoc Test Results [PDF]
Plant DiseaseResearch synthesis methods such as meta-analysis rely primarily on appropriate summary statistics (i.e., means and variance) of a response of interest for implementation to draw general conclusions from a body of research. A commonly encountered problem arises when a measure of variability of a response across a study is not explicitly provided in the
Vinicius C. Garnica +3 more
openaire +3 more sources
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING, 2019 <p>Restricted boltzmann machines (RBM) merupakan algoritma pembelajaran jaringan syaraf tanpa pengawaas (<em>unsupervised learning</em>) yang hanya terdiri dari dua lapisan yang <em>visible layer</em> dan <em>hidden layer</em>.
Susilawati Susilawati, Muhathir Muhathir
openaire +3 more sources
Analysis of Steganography on PNG Image using Least Significant Bit (LSB), Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) [PDF]
Journal of Engineering and Applied Sciences, 2019 Priyandanu Filzasavitra +2 more
openaire +2 more sources
Investigating Sensitivity of Nonlinear Classifiers by Reducing Mean Square Error (MSE)
International Research Journal of Innovations in Engineering and Technology, 2020 Abeer A. Al-Mohdar, Ahmed A. Bahashwan
openaire +2 more sources
IET Communications, 2012 The authors consider the worst-case transceiver design problem under spectrum bounded channel uncertainty matrices. Their design aims to minimise the trace and the determinant of the estimate error covariance matrix, respectively. The authors relax the formulated problem into an optimisation problem with bilinear matrix inequality constraints (i.e. BMI
Chong Li
openaire +2 more sources
Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Predicted electricity consumption is needed to perform energy management. Electricity consumption prediction is also very important in the development of intelligent power grids and advanced electrification network information.
Azam Zamhuri Fuadi +2 more
doaj +1 more source
A DFT-based Low Complexity LMMSE Channel Estimation Technique for OFDM Systems
Journal of Telecommunications and Information Technology, 2022 The linear minimum mean square error (LMMSE) channel estimation technique is often employed in orthogonal frequency division multiplexing (OFDM) systems because of its optimal performance in the mean square error (MSE) performance.
Jyoti Prasanna Patra +2 more
doaj +1 more source
Mean square cross error: performance analysis and applications in non-Gaussian signal processing
EURASIP Journal on Advances in Signal Processing, 2021 Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang +3 more
doaj +1 more source