ОРГАНІЗАЦІЯ СИСТЕМИ АВТОМАТИЧНОГО РЕФЕРУВАННЯ ТЕКСТУ НА ОСНОВІ НЕЧІТКОЇ ІЄРАРХІЧНОЇ НЕЙРОННОЇ МЕРЕЖІ
Journal: RADIOELECTRONIC AND COMPUTER SYSTEMS
Year: 2016

The approach to the construction of the automatic text summarization (ATS) system based on hierarchical fuzzy neural network (HFNN), which is oriented on structural and non-structural features for extraction at different levels of the text, taking into account connectivity initial text of the document, which allows consider not only statistical information, but also organizational and syntax-semantic structure of the text, is proposed. The mathematical apparatus HFNN and its learning algorithm f