Metallic complexes of multimetal and multiligand systems are complicated fo
r calculating equilibrium concentrations in solutions. An artificial neural
network has been developed for studying Al3+ and EDTA complexes in solutio
n with an initial concentration of 0.01 mol L-1 for these species. In this
system there are 20 compounds and may exist 18 simultaneous reactions. The
neural network has been trained and the simulated data of different concent
rations as a function of PH are predicted with an accuracy of about 1% for
all species simultaneously. A general analytical formula is presented, whic
h directly relates all the concentrations as a function of pH. The analysis
showed that predictions closer to the boundary of the input and output dat
a are quantitative while out of these limits these are not even qualitative
. (C) 2001 John Wiley & Sons, Inc.