Building an Intelligent Learning System Using Neural Networks

Abstract

Россия, г. Пенза, Пензенский государственный технологический университет Currently, progress does not stand still and the industries are constantly developing. Education is one of them. New teaching methods and systems are emerging all the time, all for the sake of one goal -to educate people in society, to make it more intellectual, for the sake of people's development. The article discusses the introduction of distance learning services, the program of which will automatically adapt to a specific individual, increasing the effectiveness of studying the course at times. For effective and efficient work, the technology of artificial neural networks is used, with the possibility of dynamic learning. A feed-forward network is selected. The neural network is trained using the error backpropagation method. The prototype proposed in this article can serve as a starting point for the creation of an improved version of distance learning that can develop the speed of understanding and learning of the courses of the learners.