Paper Title
Neural Network Prognostic Systems for Research and Solution of Pedagogical Problems

Abstract
This paper describes the process of creating neural network forecasting systems for solving such pedagogical problems as predicting the results of project activities of schoolchildren with developing recommendations for selecting a perspective project task; predicting student attendance based on their personal qualities, aims and lesson schedules; modeling the activities of student interns (musicians and future music teachers) related to their decision to attend theoretical disciplines, etc. Keywords - Artificial Neural Networks, Intelligent Systems, Neural Network Mathematical Modeling, Pedagogical Tasks.