Performance and training strategies in feedforward neural networks: an application to sleep scoring

Abstract

A comparison is made of the performance of single- and multilayer perceptrons in the scoring of sleep stages under different training conditions. The input to the neural network is a set of feature vectors, and the sleep staging is the output. Performance is the degree of agreement with the human scorer. For this application the single-layer perceptron… (More)

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@article{Principe1989PerformanceAT, title={Performance and training strategies in feedforward neural networks: an application to sleep scoring}, author={Jose. C. Principe and A.M.P. Tome}, journal={International 1989 Joint Conference on Neural Networks}, year={1989}, pages={341-346 vol.1} }