Inversion of micromechanical powder consolidation and sintering models using Bayesian inference and genetic algorithms

It is shown that a genetic algorithm (GA) is in fact a Bayesian inference engine and as such the tools of Bayesian analysis can be applied to the output of a GA to rectify a number of deficiencies in the overall GA technique. In this work, the Bayesian enhanced GA addresses the inverse and ill-posed...

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Veröffentlicht in:	Modelling and simulation in materials science and engineering 1999-11, Vol.7 (6), p.1061-1081
1. Verfasser:	Reardon, Brian J
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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