DocumentCode
3374288
Title
Mining typhoon knowledge with neural networks
Author
Zhou, Zhihua ; Chen, Shifu ; Chen, Zhaoqian
fYear
1999
fDate
1999
Firstpage
325
Lastpage
326
Abstract
Neural network technology has not been fully utilised in data mining. There are two reasons for this. Firstly, most neural algorithms need long-term training, and cannot perform incremental learning. Secondly, the knowledge learned by neural networks is concealed within a large quantity of connections. We have develop a neural network method to mine typhoon knowledge which overcomes those two obstacles. Experimental results show that our method shows considerable promise
Keywords
ART neural nets; data mining; geophysics computing; storms; ART neural nets; FTART; data mining; incremental learning; neural networks; typhoon knowledge; Data mining; Databases; Equations; Feeds; Management training; Neural networks; Resonance; Supervised learning; Typhoons; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on
Conference_Location
Chicago, IL
ISSN
1082-3409
Print_ISBN
0-7695-0456-6
Type
conf
DOI
10.1109/TAI.1999.809809
Filename
809809
Link To Document