The aim of this research was to determine how water content and water activity influence on the selected electrical honey parameters. Experimental data obtained for fifty samples of honey collected on the territory of Poland were used for research. These were nectar honeys, nectar-honeydew as well as honeydew honeys. Chemical and electrical parameters were determined for each sample: conductivity of 20 percentage water and honey solution, conductivity and impedance of liquid honey. Then, with the use of artificial neural networks multi-dimensional mathematical models, describing relationships between electrical and chemical properties were constructed. Based on these models, with the use of the knowledge of networks structure and values of synaptic weights, degree of the impact of particular input parameters on output parameters of the model were determined. The tests which were carried out proved that water activity and content influence impedance more than conductivity of liquid honey and solution.