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Cascade-connected ANN structures for indoor WLAN positioning

Borenović, Milos and Neskovic, Aleksandar and Budimir, Djuradj (2009) Cascade-connected ANN structures for indoor WLAN positioning. In: Corchado, Emilio and Yin, Hujun, (eds.) Intelligent Data Engineering and Automated Learning - IDEAL 2009: Proceedings of the 10th International Conference, Burgos, Spain, September 23-26, 2009. Lecture notes in computer science (5788). Springer, pp. 392-399. ISBN 9783642043932

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Official URL: http://dx.doi.org/10.1007/978-3-642-04394-9_48


Various radio systems can be used to obtain the position information in indoor environments. Due to the ubiquitous presence of WLAN networks, positioning techniques in these environments are the scope of intense research. This paper explores the properties of cascade-connected Artificial Neural Networks (ANNs) structures. Several cascade-connected ANN structures with space partitioning are compared to the single ANN multilayer feedforward structure. The benefits of using cascade-connected ANNs structures are shown and discussed in terms of the size of the environment and subspaces. The optimal cascade-connected ANN structure with space partitioning shows a 41% decrease in median error with respect to the single ANN model.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:9009
Deposited On:20 Jan 2011 10:11
Last Modified:20 Jan 2011 10:11

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