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Neural Netw. 1998 Jun;11(4):769-777. doi: 10.1016/s0893-6080(98)00036-7.

Mouse chromosome classification by radial basis function network with fast orthogonal search.

Neural networks : the official journal of the International Neural Network Society

M T. Musavi, R J. Bryant, M Qiao, M T. Davisson, E C. Akeson, B D. French

Affiliations

  1. Department of Electrical and Computer Engineering, University of Maine, Orono, USA

PMID: 12662815 DOI: 10.1016/s0893-6080(98)00036-7

Abstract

This paper provides the results of our study on automatic classification of mouse chromosomes. A radial basis function neural network was compared with a multi-layer perceptron and a probabilistic neural network. The networks were trained and tested with 3723 chromosomes presented to each network as 30-point banding profiles. The radial basis function classifier trained with the fast orthogonal search learning rule provided the best unconstrained classification error rate of 12.7% which was obtained with a training set of 2250 chromosomes.

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