MODIFIED PROBABILISTIC NEURO-FUZZY NETWORK FOR TEXT DOCUMENTS PROCESSING

Authors

  • Yevgeniy Bodyanskiy
  • Irina Pliss
  • Valentyna Volkova

DOI:

https://doi.org/10.47839/ijc.11.4.582

Keywords:

Text document processing, probabilistic neuro-fuzzy network, multilayer architecture.

Abstract

We consider the problem of text processing (classification problem) using the modification of the probabilistic neural network proposed by D. Specht. Since classes often overlap during texts processing, there were introduced the modification that implements a procedure of fuzzy inference. For this into the network were introduced two additional layers. The results of the outputs of the network are levels of belonging each text document to each of the possible classes.

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Published

2014-08-01

How to Cite

Bodyanskiy, Y., Pliss, I., & Volkova, V. (2014). MODIFIED PROBABILISTIC NEURO-FUZZY NETWORK FOR TEXT DOCUMENTS PROCESSING. International Journal of Computing, 11(4), 391-396. https://doi.org/10.47839/ijc.11.4.582

Issue

2012, Volume 11, Issue 4

Section

Articles

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