摘要
神经网络的方法不常用于数据挖掘任务,因为他们可能具有复杂的结构,训练时间长,和不易理解的结果表示和常产生不可理解的模型,然而,神经网络具有对噪声数据的高承受能力和高精确度,是数据挖掘中的优先考虑。该文,做了调查来探索人工神经网络在数据挖掘技术中的应用,还研究了基于神经网络基础实现数据挖掘的关键技术和方法。
Neural-network methods are not commonly used for data-mining tasks,because they may have complex structure,long training time,and uneasily understandable representation of results often produce incomprehensible models.However,neural networks have high acceptance ability for noisy data and high accuracy and are preferable in data mining.In this paper,investigation is made to explore application of Artificial Neural Network in Data mining techniques,the key technology and ways to achieve the data mining based on neural networks are also researched.Given the current state of the art,neural-network deserves a place in the tool boxes of data-mining specialists.
出处
《煤炭技术》
CAS
北大核心
2011年第5期163-165,共3页
Coal Technology
关键词
数据挖掘
知识发现
数据挖掘过程
data mining
knowledge discovery
data mining process
