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The proposed project aims to formulate an integrated reinforcement learning (RL) and adaptive resonance theory (ART) neural network-based classification system with application to medical diagnosis. Robust RL algorithms will be developed and combined with the ART network to form an RL-ART system. The proposed project will investigate the integration of RL and ART for formulating a data classification system and to evaluate the applicability of the RL-ART system as a medical diagnosis tool. The specific objectives of the proposed project are: