Diagnosis using neural nets

E. Schoneburg
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引用次数: 5

Abstract

Diagnosis is an important part of the product quality assurance cycle. The construction of diagnosis systems with neural nets, which solves problems hitherto unsolved, creates effective real-time opportunities, and a new level of robustness is discussed. The application of neural nets is illustrated in three examples. The first example shows how the effect of medication can be diagnosed. The other two involve automotive applications. They were derived from industrial products created by Expert Informatik GmbH over the years 1989 to 1992.<>
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神经网络诊断
诊断是产品质量保证周期的重要组成部分。用神经网络构建诊断系统,解决了迄今为止尚未解决的问题,创造了有效的实时机会,并讨论了一个新的鲁棒性水平。通过三个实例说明了神经网络的应用。第一个例子显示了如何诊断药物的效果。另外两个涉及汽车应用。它们是由Expert Informatik GmbH在1989年至1992年期间开发的工业产品衍生而来的。
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