Title :
A Fuzzy GMDH Network and its Application in Traffic Flow Forecasting
Author :
Chen Hong ; Chen Senfa
Author_Institution :
Inst. of Syst. Eng., Southeast Univ., Nanjing, China
Abstract :
The present paper introduces fuzzy reasoning into the GMDH network to replace partial descriptions of the conventional GMDH network, i.e. the absolute binary quadratic polynomials. Drawing upon the GMDH network, the authors propose a fuzzy GMDH network, and apply it to traffic flow forecasting. Simulative results by computer show that the new network is valid.
Keywords :
forecasting theory; fuzzy reasoning; fuzzy set theory; road traffic; absolute binary quadratic polynomials; fuzzy GMDH network; fuzzy reasoning; traffic flow forecasting; Computational modeling; Computer networks; Computer simulation; Fuzzy reasoning; Neural networks; Neurons; Polynomials; Systems engineering and theory; Telecommunication traffic; Traffic control; GMDH; forecasting; fuzzy;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.37
