Iraqi Stock Market Forecasting Using Artificial Neural Network
Paperback
Lieferzeit: Print on Demand - Lieferbar innerhalb von 3-5 Werktagen I
ISBN-13:
9783330076211
Veröffentl:
2017
Einband:
Paperback
Erscheinungsdatum:
19.04.2017
Seiten:
100
Autor:
Araf Akram
Gewicht:
167 g
Format:
220x150x6 mm
Sprache:
Englisch
Beschreibung:
Predicting is very hard for anything particularly if a relationship between inputs and results are non-linear in characteristics and artificial neural networks are one of them. Forecasting stock data with a customary time series evaluation has shown to be intricate. Because no primary postulation about a suitable mathematical model must be made prior to prediction furthermore, a neural network gets the knack to draw out useful information from significant collections of data, which frequently is necessary for a gratifying description of the financial time series.