Three dimensional knowledge learning memory with dynamic Bayesian associative matrix for the medical diagnosis

Three dimensional knowledge learning memory with dynamic Bayesian associative matrix (DBAM) is proposed. Adopting Bayesian´s formalism, the DBAM has been specially designed. Using the DBAM it can perform the efficient memory management. Three dimensional Knowledge learning memory has the hierarchical structure performing the mechanisms of adaptive learning, selective processing, perception, inference and information retrieval. We applied this system to the medical diagnostic area for the group of virus (coxsackievirus, echovirus, cold) and the group of Rhinitis (nonallergic, allergic)