Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization

Wei Huang, Sung Kwun Oh, Witold Pedrycz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we propose a novel architecture of polynomial neural network classifier (PNNC) with the aid of data preprocessing technique and space search optimization, which adopts accelerated convergence mechanism instead of purely random search. Two type of polynomials are adopted for constructing discriminate functions in the PNNC to alleviate the limitation of relatively simple geometry using linear discriminate function in the conventional neural network classifiers. Space search optimization is exploited here to realize structure optimizes and parameter optimize in the design of PNNC. Moreover, data preprocessing techniques are used to reduce the dimension of training data. The proposed PNNC is compared with some well-known classifiers based on several benchmark data sets. Experimental results illustrate the effectiveness of PNNCs.

Original languageEnglish
Title of host publicationProceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages769-773
Number of pages5
ISBN (Electronic)9781467390415
DOIs
Publication statusPublished - 28 Dec 2016
Externally publishedYes
Event8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 - Sapporo, Hokkaido, Japan
Duration: 25 Aug 201628 Aug 2016

Publication series

NameProceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016

Conference

Conference8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
Country/TerritoryJapan
CitySapporo, Hokkaido
Period25/08/1628/08/16

Keywords

  • Polynomial Neural Network Classifiers
  • data preprocessing
  • polynomial discriminant function
  • space search optimization

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