GENETIC ALGORITHMS USED IN MODEL FINDING AND FITTING FOR NEUTRON REFLECTION EXPERIMENTS
被引:34
作者:
DEHAAN, VO
论文数: 0引用数: 0
h-index: 0
机构:
DELFT UNIV TECHNOL,DEPT MIN & PETR ENGN,2628 RX DELFT,NETHERLANDSDELFT UNIV TECHNOL,DEPT MIN & PETR ENGN,2628 RX DELFT,NETHERLANDS
DEHAAN, VO
[1
]
DRIJKONINGEN, GG
论文数: 0引用数: 0
h-index: 0
机构:
DELFT UNIV TECHNOL,DEPT MIN & PETR ENGN,2628 RX DELFT,NETHERLANDSDELFT UNIV TECHNOL,DEPT MIN & PETR ENGN,2628 RX DELFT,NETHERLANDS
DRIJKONINGEN, GG
[1
]
机构:
[1] DELFT UNIV TECHNOL,DEPT MIN & PETR ENGN,2628 RX DELFT,NETHERLANDS
来源:
PHYSICA B
|
1994年
/
198卷
/
1-3期
关键词:
Genetic algorithms - Scattering lengths;
D O I:
10.1016/0921-4526(94)90118-X
中图分类号:
O469 [凝聚态物理学];
学科分类号:
070205 ;
摘要:
A fitting procedure based on genetic algorithms is described. This procedure is used to find scattering length density profiles that correspond to measured neutron reflectivity data. It gives parameters of a model that fits the data, without any a priori knowledge about the sample. It can give different parameter sets of a model, that yield equally good fits to the data, which stresses the nonuniqueness of the solutions.