Fig. 2
Schematic representation of a 2-layer artificial neural network used here with 9 input variables (redshift, Ne3O2, [O iii]λλ4959,5007/ [O iii]λ4363, N2/Hα,[O iii]/Hβ, [S ii], [O ii]/Hβ, Hα/Hβ, [Ar iii]/[O iii]) as the input vector x, 10 hidden neurons, and 2 output neurons (MPG or MRGs as target vectors t). This schematic is taken from the MATLAB Recognizing Patterns Documentation.
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