Application of artificial intelligence systems for stylometric analysis of texts as factor of sustainable development

Investment in human capital, along with natural resource management, is an important indicator of sustainable development. One the areas such investments creation artificial intelligence systems that allow for classification texts. This paper analyzes use stylometric text analysis. On basis algorithm convolutional immune system, a system analysis texts was developed and implemented software. In order to determine possibility using this authorship literary works, it trained tested. For this, works two authors were chosen: Leo Tolstoy Fyodor Kryukov. demonstrated high quality good speed work learning. So, test performance 11 by 12 Fedor Kryukov taken not used train system. All these classified correctly. It should be noted can also successfully other tasks requiring classification.