THE POSSIBILITIES OF FORECASTING OF FAMILY STABILITY USING ARTIFICIAL INTELLIGENCE METHODS
A computer program is intended for detecting regularities and forecasting the level of mutual trust spouses. The neural network is based on the program, which trained on the results of public opinion polls. The error of neuro-network model is 5%. By means of neuro-network model the assessment of the importance of input parameters is made: the most significant parameters having the greatest impact on durability of married couples, appeared violence in a family and number of children, and the least significant – a material standard of living. Besides forecasts the program allows to estimate the influence of the parameter's change characterizing family on joint life of the spouses and the family as a whole, and also to select optimum combinations of these parameters for each couple. By research of neural network mathematical model recommendations about increase in the strength of the family were worked out.