Studies on Prediction of Hydrolysis Constants pK1 of Metal Ions by Using Adaptive Fuzzy Neural Network

An adaptive fuzzy neural network was applied to study the relationships between the structural parameters of metal ions and their hydrolysis constants pK1 of metal ions,with the parameters of valence electronic structural factor of metal ions(S),electric charge-radius ratio(Z2/r),adaptive valence orbit number(w).Subtractive clustering algorithm is used to confirm the structure of fuzzy neural network,and combined fuzzy inference systems to process regulation of the network parameters.The simulation results are satisfactory.Therefore,the authors can expect that adaptive fuzzy neural network might be used as an effective assistant technique for the investigation of quantitative structure-property relationship(QSPR) of the elements and compounds.