On training sample size and complexity of artificial neural net classifier
Volume 3, Issue 3 (1992), pp. 301–337
Pub. online: 1 January 1992
Type: Research Article
Published
1 January 1992
1 January 1992
Abstract
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.