Abstract
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.
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Zhou, Y., Wu, Y. (2011). Analyses on Influence of Training Data Set to Neural Network Supervised Learning Performance. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_4
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DOI: https://doi.org/10.1007/978-3-642-23753-9_4
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