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    一种基于神经网络集成的规则学习算法

    A Rule Learning Algorithm Based on Neural Network Ensemble

    • 摘要: 将神经网络集成与规则学习相结合 ,提出了一种基于神经网络集成的规则学习算法 该算法以神经网络集成作为规则学习的前端 ,利用其产生出规则学习所用的数据集 ,在此基础上进行规则学习 在UCI机器学习数据库上的实验结果表明 ,该算法可以产生泛化能力非常强的规则

       

      Abstract: In this paper neural network ensemble is combined with rule learning, which results in a rule learning algorithm based on neural network ensemble This algorithm regards neural network ensemble as the front end processing of rule learning, which generates the training set for rule learning Experimental results on some data sets of UCI machine learning repository show that this algorithm can generate rules with strong generalization ability

       

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