Title : 
Mining typhoon knowledge with neural networks
         
        
            Author : 
Zhou, Zhihua ; Chen, Shifu ; Chen, Zhaoqian
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on
         
        
            Conference_Location : 
Chicago, IL
         
        
        
            Print_ISBN : 
0-7695-0456-6
         
        
        
            DOI : 
10.1109/TAI.1999.809809