A Modified Parallel Learning Vector Quantization Algorithm for Real-Time Hardware Applications

ALKIM E., AKLEYLEK S., KILIÇ E.

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, cilt.26, sa.10, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 10
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1142/s0218126617501560
  • Dergi Adı: JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: FPGA, LVQ, GLVQ, reinforcement mechanism, ARTIFICIAL NEURAL-NETWORKS, IMPLEMENTATION
  • Dokuz Eylül Üniversitesi Adresli: Hayır

Özet

In this study a modified learning vector quantization (LVQ) algorithm is proposed. For this purpose, relevance LVQ (RLVQ) algorithm is effciently combined with a reinforcement mechanism. In this mechanism, it is shown that the proposed algorithm is not affected constantly by both relevance-irrelevance input dimensions and the winning of the same neuron. Hardware design of the proposed scheme is also given to illustrate the performance of the algorithm. The proposed algorithm is compared to the corresponding ones with regard to success rate and running time.