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2020
In this chapter, we discuss several state-of-the-art RSM methods for performance modeling of analog and AMS circuits. RSM aims to approximate a given PoI by the linear combination of a set of basis functions. If the number of training samples is much larger than the number of adopted basis functions, the model coefficients can be accurately estimated ...
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In this chapter, we discuss several state-of-the-art RSM methods for performance modeling of analog and AMS circuits. RSM aims to approximate a given PoI by the linear combination of a set of basis functions. If the number of training samples is much larger than the number of adopted basis functions, the model coefficients can be accurately estimated ...
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Response Surfaces: Designs and Analyses
Technometrics, 1988Michael L. Deaton +2 more
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2017
Adopting an integrated approach, this book covers experiments, theory, and emerging applications. In the first part surfaces are described that change from flat to either a random corrugated or to a well-structured structure, while the second part deals with those surface structures integrated in the coating surface where the structures change their ...
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Adopting an integrated approach, this book covers experiments, theory, and emerging applications. In the first part surfaces are described that change from flat to either a random corrugated or to a well-structured structure, while the second part deals with those surface structures integrated in the coating surface where the structures change their ...
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2001
One purpose of response surface methodologies is to maximize or minimize a response function. The response is a function of some input variables that are controllable, call these ξ = (ξ 1,..., ξ q )′. Denote the response function $$ \mu (\xi ) \equiv \mu ({\xi _1}, \ldots ,{\xi _q}) $$ .
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One purpose of response surface methodologies is to maximize or minimize a response function. The response is a function of some input variables that are controllable, call these ξ = (ξ 1,..., ξ q )′. Denote the response function $$ \mu (\xi ) \equiv \mu ({\xi _1}, \ldots ,{\xi _q}) $$ .
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RESPONSE SURFACE EXPERIMENTATION
Journal of Food Processing and Preservation, 1982openaire +1 more source