Modeling the Uncertainty in Complex Engineering Systems
نویسنده
چکیده
Existing procedures for model validation have been deemed inadequate for many engineering systems. The reason of this inadequacy is due to the high degree of complexity of the physical mechanisms that govern these systems. It is proposed in this paper to shift the attention from modeling the engineering system itself to modeling the uncertainty that underlies its behavior. A mathematical framework for modeling the uncertainty in complex engineering systems is developed. This framework uses the results of computational learning theory. It is based on the premise that a system model is a learning machine.
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ورودعنوان ژورنال:
- CoRR
دوره cs.AI/0005021 شماره
صفحات -
تاریخ انتشار 2000