Mining typhoon knowledge with neural networks

Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
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引用次数: 8

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.
利用神经网络挖掘台风知识
神经网络技术在数据挖掘中还没有得到充分的应用。这有两个原因。首先,大多数神经算法需要长期训练,不能进行增量学习。其次,神经网络学习到的知识隐藏在大量的连接中。我们开发了一种神经网络方法来挖掘台风知识,克服了这两个障碍。实验结果表明,该方法具有较好的应用前景。
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