@inproceedings{a757d27333aa4cf1bd9befeac9ddf116,
title = "Comparing the performance of three neural classifiers for use in embedded applications",
abstract = "In this paper, we provide a detailed empirical comparison of three neural-based classifiers used in embedded applications. The three techniques (multi-layer Perceptrons, radial basis function networks and adaptive fuzzy systems) are compared with one another and with a classical kNN classifier. In this study, we observe that the MLP provides similar levels of performance to the RBFN, AFS land kNN) classifiers while exerting a lower computational load on the processor.",
keywords = "multi-layer perceptron network, radial basis function network, adaptive fuzzy system, k-nearest neighbour, embedded system",
author = "Yuhua Li and MJ Pont and CR Parikh and NB Jones",
note = "Workshop 99 on Recent Advances in Soft Computing, LEICESTER, ENGLAND, JUL 01-02, 1999; SOFT COMPUTING TECHNIQUES AND APPLICATIONS ; Conference date: 01-01-2000",
year = "2000",
language = "English",
series = "ADVANCES IN SOFT COMPUTING",
pages = "34--39",
booktitle = "Unknown Host Publication",
}