List of publications on a keyword: «neural networks»

This article is devoted to the role of artificial intelligence in the global economy. Today, the problem of introducing new technologies in all spheres of life is relevant. The article reveals the concept of artificial intelligence as a factor in the development of the economy and finances of the world. An overview of the current state of the artificial intelligence system use is given.

The article discusses the features of the cognitive processes of students, including the process of cognition in context with the artistic and educational environment that ensures the reflection of the phenomena of the objective world in solving the upcoming life tasks. The impact of an insufficiently objective attitude to the discipline «Visual arts» in school teaching practice, which influences the development of cognitive-visual (visual-cognitive) thinking of students, is shown. It is in the artistic and educational environment that the skills of visual perception of various information are formed using the pictorial language of images, clarity, sign and symbolic systems that promote the conscious use of concepts and inference in any academic discipline. As a result, it is shown that the development of cognitive processes includes the formation of internal motivational activity of children, methods of perception of visual information associated with information exchange, inspired by cognitive metaphor and cognitive load, as a result, children's intellectual development, including cognition, explanation and understanding of educational information.

The article reviews some of the main problems of modern software implementations of artificial intelligence based on neural networks. We consider such problems as the need for large amounts of data for training, the instability of results on similar problems and opacity. Based on the analysis of this problems, a set of technical solutions is proposed to overcome them.

This article describes the ways to improve the automated system of technological preparation of manufacturing. The method for optimizing the planning of technological equipment based on the use of artificial neural networks was developed for the automated system of technological preparation of manufacturing.

The article discusses artificial intelligence (AI) at the present stage of development, as a way of presenting and understanding AI as the mechanisms of computers. Features a large bunch of some algorithmic procedures for the solution by computer of a specific task, an example of which can serve as an attempt of modeling of biological neural networks.