Prime-Time: Symbolic Regression Takes Its Place in the Real World
Autor: | Mark Kotanchek, Lander Willem, Sean Stijven, Arthur K. Kordon, Ekaterina Vladislavleva |
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Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Product design Policy making business.industry Industrial scale Complex system 02 engineering and technology Machine learning computer.software_genre Industrial engineering 03 medical and health sciences Variable (computer science) 030104 developmental biology Prime time Simulation-based optimization 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Symbolic regression business computer Mathematics |
Zdroj: | Genetic Programming Theory and Practice XIII ISBN: 9783319342214 |
DOI: | 10.1007/978-3-319-34223-8_14 |
Popis: | In this chapter we review a number of real-world applications where symbolic regression was used recently and with great success. Industrial scale symbolic regression armed with the power to select right variables and variable combinations, build robust trustable predictions and guide experimentation has undoubtedly earned its place in industrial process optimization, business forecasting, product design and now complex systems modeling and policy making. |
Databáze: | OpenAIRE |
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