INTELLECTUAL SYSTEM OF RECOGNITION OF HUMAN EMOTIONS BY NEURAL NETWORK
Journal Title: Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки - Year 2018, Vol 29, Issue 6
Abstract
In the modern world intellectual systems gain the increasing popularity, thanks to rich opportunities and efficiency of use. There is a set of tasks where the practical decision with use of intellectual systems is necessary already now: business, economy, medicine, robotic technology, biological physics and many others. Such large number of scopes says that intellectual systems are a unique set for the solution of questions of the analysis and processing of large volume of data, the decision of tasks of different level of complexity with use of neural networks. In this article it will be opened questions of operation of intellectual system of recognition of emotions of the person by means of neural networks. Also the analysis of operation of neural systems will be carried out, it is revealed as it is possible to teach to recognize this network of emotion of the person as it is possible to improve operation of this algorithm by means of self-training of a neural network and what errors of operation of a neural network in case of malformed input data can be. In general article shall open a question of assignment of a neural network and its feasibility of use.
Authors and Affiliations
В. О. Климчук, Я. І. Корнага
Keywords
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