Electronics, Free Full-Text
Por um escritor misterioso
Descrição
The time-series forecasting is a vital area that motivates continuous investigate areas of intrigued for different applications. A critical step for the time-series forecasting is the right determination of the number of past observations (lags). This paper investigates the forecasting accuracy based on the selection of an appropriate time-lag value by applying a comparative study between three methods. These methods include a statistical approach using auto correlation function, a well-known machine learning technique namely Long Short-Term Memory (LSTM) along with a heuristic algorithm to optimize the choosing of time-lag value, and a parallel implementation of LSTM that dynamically choose the best prediction based on the optimal time-lag value. The methods were applied to an experimental data set, which consists of five meteorological parameters and aerosol particle number concentration. The performance metrics were: Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE) and R-squared. The investigation demonstrated that the proposed LSTM model with heuristic algorithm is the superior method in identifying the best time-lag value.
Full pack 500 pcs - 2 G. disiccant tyvek® microbags silicagel
Galaxy A23 5G, Lag-Free 5G Smartphone
Disposable Vape Electronic Cigarette Charging USB C Disposable Pen Eboat Purosin D8 Vape - China Disposable Vape, Vape Disposable 2g
Electronics Magazine (1966-10-31) : Free Download, Borrow, and Streaming : Internet Archive
ASUS Zenbook Flip Q528 Series 15.6 Full HD fhd 1920x1080 Laptop Screen LCD Assembly
RPHF Solid Waste District – Tire & Electronics Disposal Event – Ross County Health District
DJ-Electronics v1.3.0 - Template for an online electronics store for Joomla 4.
Shopping Cart Full of Electronics Stock Vector - Illustration of cart, shopping: 284386124
Free Electronics Recycling Event, October 14, 9 am to Noon - Welcome to the City of Eagle River
Perinton Announces Household Hazardous Waste Collection, Electronics Recycling, and Free Shredding Event - Town of Perinton
Arrow Electronics Full Year 2022 Earnings: In Line With Expectations
Free Shred Day and Electronics Recycling Saturday at PCT Federal Credit Union
