Title :
Forecasting time series by Bayesian neural networks
Author :
Zhang, Tieling ; Fukushige, Arkira
Author_Institution :
HAL Corp., Tokyo, Japan
fDate :
6/24/1905 12:00:00 AM
Abstract :
A brief review on application and development of neural networks to time series forecasting is presented, in which the main point is placed on Bayesian neural networks and Bayesian evolutionary neural trees (BENTs). Furthermore, the BENTs techniques are applied to a time series forecast of the daily balance of accounts of the customers in a branch of a bank
Keywords :
Bayes methods; bank data processing; forecasting theory; learning (artificial intelligence); neural nets; probability; time series; trees (mathematics); Bayesian evolutionary neural trees; Bayesian neural networks; banking; customer bank accounts; daily balance; learning data; probability; time series forecasting; Artificial neural networks; Bayesian methods; Economic forecasting; Expert systems; Feedforward neural networks; Feedforward systems; Neural networks; Predictive models; Recurrent neural networks; Time series analysis;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005502
