Fast design algorithm for competitive learning

Wen Jyi Hwang, Faa Jeng Lin, Yi Chong Zeng

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


The authors present a new, fast computation algorithm which significantly reduces the training time of the competitive learning (CL) algorithm without sacrificing its performance. The training process is performed in the wavelet domain to identify the winning neural units with a small number of multiplications. Simulation results show that in many cases the algorithm requires < 10% of the computational time required by traditional CL algorithms.

Original languageEnglish
Pages (from-to)1469-1471
Number of pages3
JournalElectronics Letters
Issue number17
StatePublished - 14 Aug 1997


  • Learning systems
  • Neural networks
  • Wavelet transforms


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