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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Analyses on Influence of Training Data Set to Neural Network Supervised Learning Performance
verfasst von : Yu Zhou, Yali Wu
Erschienen in: Advances in Computer Science, Intelligent System and Environment
Verlag: Springer Berlin Heidelberg
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The influence of training data set on the supervised learning performance of artificial neural network (ANN) is studied in detail in this paper. First, some illustrative experiments are conducted, which verify that different training data set can lead to different supervised learning performance of ANN; secondly, the necessity of carrying data preprocessing to training data set is analyzed, and how training data set affect the supervised learning is summarized; at last, the existing methods about improving performance of ANN by using high-quality training data are discussed.