Chemical reaction rate parameter estimation by MAP particle filter algorithm

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作者
Kashiwaya, Shigeru
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A fast search algorithm for estimation of chemical reaction kinetics parameters is investigated. A novel parameter estimation technique using maximum a posteriori (MAP) particle filter is presented. Low discrepancy sequences (LDS) are applied to generate a population of particles that are regarded as a set of samples drawn from a uniformly distributed probability density in a high dimensional parameter space. The notion of simulated annealing (SA) is adopted to "rejuvenate" a system of particles around an MAP estimate that is obtained through evolution of such filter particles.
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页码:4489 / 4496
页数:8
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