Guaranteed nonlinear parameter estimation in knowledge-based models
نویسندگان
چکیده
منابع مشابه
Guaranteed Nonlinear Parameter Estimation in Knowledge-Based Models
Knowledge-based models are ubiquitous in pure and applied sciences. They often involve unknown parameters to be estimated from experimental data. This is usually much more difficult than for black-box models, only intended to mimic a given input-output behavior. The output of knowledge-based models is almost always nonlinear in their parameters, so that linear least squares cannot be used, and ...
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ژورنال
عنوان ژورنال: Journal of Computational and Applied Mathematics
سال: 2007
ISSN: 0377-0427
DOI: 10.1016/j.cam.2005.07.039