UDC 004.932

Authors

Korshunova Kseniya P.
The Branch of National Research University "Moscow Power Engineering Institute" in Smolensk, Smolensk, Russia

Abstract

The Convolutional Fuzzy Neural Network for binary text data classification (natural language) is proposed. The Convolutional Fuzzy Neural Network consists of convolutional, pooling and fully- connected layers and a Fuzzy Self Organization Layer. The model combines the power of convolutional neural networks and fuzzy logic and is capable of handling uncertainty and imprecision in the input pattern representation. The structure and the training algorithm of the Net are proposed in the paper

Keywords

Convolutional neural network, Fuzzy neural network, Classification, Text data, Artificial intelligence, Data analysis