Hierarchical fuzzy neural networks for pattern classification1

Junshiuh Taur, Sun Yuan Kung, Shang Hung Lin

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Information processing is becoming increasingly important due to the advances of the computing and networking technologies. The systems are required to handle complex, uncertain, and sometimes even contradictory information for a variety of applications. In this chapter, a potential framework of fuzzy neural networks based on hierarchical structures is proposed to provide the ability for robust information processing. Unsupervised and supervised strategies are integrated to train the parameters in the proposed processing framework. Also presented are some promising application examples for biometric authentication, medical image processing, video segmentation, object recognition/detection, and multimedia content-based retrieval.

Original languageEnglish (US)
Title of host publicationHandbook of Neural Network Signal Processing
PublisherCRC Press
Pages13-1-13-37
ISBN (Electronic)9781420038613
ISBN (Print)9780849323591
StatePublished - Jan 1 2001

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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