Block building programming for symbolic regression
نویسندگان
چکیده
منابع مشابه
Block building programming for symbolic regression
Symbolic regression that aims to detect underlying data-driven model, has become increasingly important for industrial data analysis when the experimental model structure is unknown or wrong, or the concerned system has changed. For most of the existing algorithms for symbolic regression, such as genetic programming, the convergence speed might be too slow for large scale problems with a large ...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2018
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2017.10.047