A Modified Parallel Learning Vector Quantization Algorithm for Real-Time Hardware Applications
Makaleler > Tam Makale · 2017
Yazarlar: Erdem Alkım, Sedat Akleylek, Erdal Kılıç
Journal of Circuits, Systems and Computers, Uluslararası, Wos, 2017, cilt 26, ss 1750156-1750156
DOI: 10.1142/s0218126617501560
Özet
In this study a modified learning vector quantization (LVQ) algorithm is proposed. For this purpose, relevance LVQ (RLVQ) algorithm is efficiently 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.