5 January 2022
Convolutional networks
An increasing amount of data is stored as time series: stock market indexes, climate data, medical tests, etc. There are many regression methods for time series. […]
22 December 2021
Use of neural networks for time series forecasting
A neural network is an information processing system whose   The structure and operating principle are modeled on that of the human brain. A neural network […]
13 December 2021
Classical treatment of forecast errors as determinants of the effectiveness of the demand forecasting process and their use when neural networks are applied
With the increasing ability to process large volumes of data involving both endogenous (from within the organization) and exogenous (from the environment in which the organization […]