Abstract
This paper investigates the use of Generalised Regression Neural Network (GRNN) to create and train agents capable of detecting face images. This agent would make up the ‘Detection Agent’ in an architecture comprising of several different agents that collaborate together to detect and then recognise certain images. The overall agent architecture will operate as an Automatic Target Recognition’ (ATR) system. The architecture of ATR system is presented in this paper and it is shown how the detection agent fits into the overall system. Experiments and results using the detection agent are also presented.
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© 2004 Springer-Verlag Berlin Heidelberg
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Farooque, S., Abraham, A., Jain, L. (2004). Collaborative Agent Learning Using Neurocomputing. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_95
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DOI: https://doi.org/10.1007/978-3-540-30499-9_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
Online ISBN: 978-3-540-30499-9
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