TY - GEN
T1 - Interval-based evolving modeling
AU - Leite, Daniel F.
AU - Costa, Pyramo
AU - Gomide, Fernando
PY - 2009
Y1 - 2009
N2 - This paper introduces a granular, interval-based evolving modeling (IBeM) approach to develop system models from a stream of data. IBeM is an evolving rule-based modeling scheme that gradually adapts its structure (information granules and rule base) and rules antecedent and consequent parameters from data (inductive learning). Its main purpose is continuous learning, self-organization, and adaptation to unknown environments. The IBeM approach develops global model of a system using a fast, one-pass learning algorithm, and modest memory requirements. To illustrate the effectiveness of the approach, the paper considers actual time series forecasting applications concerning electricity load and stream flow forecasting.
AB - This paper introduces a granular, interval-based evolving modeling (IBeM) approach to develop system models from a stream of data. IBeM is an evolving rule-based modeling scheme that gradually adapts its structure (information granules and rule base) and rules antecedent and consequent parameters from data (inductive learning). Its main purpose is continuous learning, self-organization, and adaptation to unknown environments. The IBeM approach develops global model of a system using a fast, one-pass learning algorithm, and modest memory requirements. To illustrate the effectiveness of the approach, the paper considers actual time series forecasting applications concerning electricity load and stream flow forecasting.
UR - http://www.scopus.com/inward/record.url?scp=67650528750&partnerID=8YFLogxK
U2 - 10.1109/ESDIS.2009.4938992
DO - 10.1109/ESDIS.2009.4938992
M3 - Conference contribution
AN - SCOPUS:67650528750
SN - 9781424427543
T3 - 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, ESDIS 2009 - Proceedings
SP - 1
EP - 8
BT - 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, ESDIS 2009 - Proceedings
T2 - 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, ESDIS 2009
Y2 - 30 March 2009 through 2 April 2009
ER -