NHFCNNC: a new fuzzy neural network algorithm based on matrix and its application

  • Authors:

  • Zhiyong Liu;Xinqing Geng;Guishi Deng

  • Affiliations:

  • Institute of Systems Engineering, Dalian University of Technology, Dalian, Liaoning, China,Department of Mathematics, Anshan Normal University, Anshan, Liaoning, China;Department of Mathematics, Anshan Normal University, Anshan, Liaoning, China;Institute of Systems Engineering, Dalian University of Technology, Dalian, Liaoning, China

  • Venue:
  • AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
  • Year:
  • 2012

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Abstract

A new fuzzy neural network algorithm (NHFCNNC) based on matrix is presented, which is applied to the text clustering. The main defect of traditional methods of fuzzy neural network is to know the number of clustering in advance. A new cohesion formula is put forward in NHFCNNC algorithm. The lines (or columns) of the membership matrix of NHFCNNC algorithm are sorted and transformed; the membership matrix is blocked to realize hierarchical clustering. The experiment shows the precision and the efficiency of clustering NHFCNNC are higher than traditional fuzzy neural network.