Artificial odor recognition system is developed in order to mimic the human sensory test in cosmetics, parfum and beverage industries. The developed system however, lacks of ability to recognize the unknown type of odor. To improve the system's capability, a hybrid neural system with a supervised learning paradigm is developed and used as a pattern classifier. In this paper, the performance of the hybrid neural system is investigated, together with that of FALVQ neural system.
|Number of pages||6|
|Journal||Proceedings of SPIE - The International Society for Optical Engineering|
|Publication status||Published - 2000|
|Event||Chemical and Biological Sensing - Orlando, FL, USA|
Duration: 24 Apr 2000 → 25 Apr 2000