Error and variance bounds on sigmoidal neurons with weight and input errors
نویسندگان
چکیده
منابع مشابه
Error and Variance Bounds on Sigmoidal Neurons with Weight and Input Errors
We derive bounds on the expectation and variance of errors at the output of a multi-layer feedforward neural network with perturbed weights and inputs. It is assumed that errors in weights and inputs to the network are statistically independent and small. The bounds obtained are applicable to both digital and analog network implementations and are shown to be of practical value. Introduction: T...
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The output error of the globoidal cam mechanism can be considered as a relevant indicator of mechanism performance, because it determines kinematic and dynamical behavior of mechanical transmission. Based on the differential geometry and the rigid body transformations, the mathematical model of surface geometry of the globoidal cam is established. Then we present the analytical expression of th...
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ژورنال
عنوان ژورنال: Electronics Letters
سال: 1992
ISSN: 0013-5194
DOI: 10.1049/el:19920480