Artificial Neural Networks Numerical Forecasting of Economic Time Series

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F11%3A00170460" target="_blank" >RIV/62156489:43110/11:00170460 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Artificial Neural Networks Numerical Forecasting of Economic Time Series
Original language description
Current global market is driven by many factors such as the information age, the time and amount of information distributed by many data channels. It is practically impossible to analyze all kinds of incoming information flows and transform them to datawith classical methods. New requirements call for using other methods. Artificial neural networks once trained on patterns can be used for forecasting and they are able to work with extremely big data sets in reasonable time. Traditionally this task is solved by using statistical analysis - first a time-series model is constructed and then statistical prediction algorithms are applied to it in order to obtain future values. The common point for both methods is the learning process from samples of past data or learning from the past. From many of the uncommon points the input conditions for the model creation and length of the time series pattern set could be pointed. On one hand very sophisticated statistical methods exist that have str
Czech name
—
Czech description
—

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)