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. 2024 Jun 27;14(29):20466–20478. doi: 10.1039/d4ra03265a

The parameters of the machine learning model for eqn (3).

Parameters CuSO4 Fe3+ ion
B −11.67194794 258.03961
A 1 0.1749725058769363 18.918431692320038
A 2 −0.8659853255560485 2.3887664791957213
A 3 0.09558946035564549 3.018478950326897
A 4 0.25728815135808075 −12.756884811298555
A 5 0.14611200674974775 1.0676268307155141
A 6 0.6633898919692821 −16.484926316415734
A 7 −0.0029225413551885746 0.5362284337472314
A 8 −0.02300907284385169 −1.8121682896367453
A 9 0.023310157395674134 −1.625810063272214
A 10 0.0044665653250014845 −1.050626267391651
A 11 −0.022848946883847206 1.8510867458015794
A 12 0.0223940371249181 1.4279649782837482
A 13 0.01868896020592669 2.051594167885635
A 14 −0.034996010159643945 −0.1163897021906569
A 15 0.03250105403235272 1.9882705177771514
A 16 0.03644820329411289 −0.9739092392704912
A 17 −0.03845392009176146 −3.1062507819007705
A 18 −0.10714238706694611 0.556601441321064
A 19 −0.020293607203989122 1.9732038182084808
A 20 0.21716408527928446 −0.9955983036842209
A 21 0.03025398359255365 −0.24395525445843377
A 22 −0.003966909407306939 0.6050224958128079
A 23 0.018379714598367163 −2.284755734470818
A 24 −0.03128443711780003 −1.678320747941534
A 25 −0.10925068557748736 0.5307519637416704
A 26 −0.03317336821218308 1.1676053587550543
A 27 0.020511778996520742 1.2271310727686446