A linear genetic programming method with tunable terminals, tunable functions, and a final linear regression step improves fish biomass prediction from Raman spectra and ranks second on SRBench.
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Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives
A linear genetic programming method with tunable terminals, tunable functions, and a final linear regression step improves fish biomass prediction from Raman spectra and ranks second on SRBench.