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ICONIP
2004

Collaborative Agent Learning Using Neurocomputing

14 years 26 days ago
Collaborative Agent Learning Using Neurocomputing
In this paper we investigate techniques to train an agent to accomplish certain tasks. Artificial Neural Networks will be the technique used to the train the agent. This paper will investigate 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 detection agent is also presented.
Saulat Farooque, Ajith Abraham, Lakhmi C. Jain
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where ICONIP
Authors Saulat Farooque, Ajith Abraham, Lakhmi C. Jain
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