Pub. online:1 Jan 1992Type:Research ArticleOpen Access
Volume 3, Issue 3 (1992), pp. 301–337
Small training sample effects common in statistical classification and artificial neural network classifier design are discussed. A review of known small sample results are presented, and peaking phenomena related to the increase in the number of features and the number of neurons is discussed.