Optimizing Thermostable Enzymes Production Using Multigene Symbolic Regression Genetic Programming

Abstract

Thermostable enzymes production depends on number of attributes such as temperature, pH, inoculum, time and agitation. Optimizing the relationship between these attributes has been a challenge in biochemical research field. Machine learning techniques such as Artificial Neural Networks (ANN), Fuzzy Logic (FL) and Genetic Algorithms (GAs) were used to solve… (More)

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