Perception-based systems for medical diagnosis
نویسنده
چکیده
In this paper, intelligent perception-based systems are proposed in application to medical diagnosis problems. The systems are created by use of connectionist neurofuzzy architectures that reflect fuzzy IFTHEN rules. The perception-based rules can be generated from examples by the system. Fuzzy reasoning, according to these rules, is considered within the framework of the computational theory of perceptions. The systems carry out diagnosis in the similar way as human experts do.
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تاریخ انتشار 2003