✦ LIBER ✦
Mouse chromosome classification by radial basis function network with fast orthogonal search
✍ Scribed by M.T. Musavi; R.J. Bryant; M. Qiao; M.T. Davisson; E.C. Akeson; B.D. French
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 264 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0893-6080
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✦ Synopsis
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.