正在加载图片...
Chapter 6 Architecture and Equilibria 6.3 Synaptic convergence to centroids:AVQ Al gor i thms Competitive learning adaptively quantizes the input pattern spaceR" p(x)characterizes the continuous distributions of pattern AVO X-→X centroid We shall prove that: Competitive AVQ synaptic vector m,converge exponentially to pattern-class centroid.They vibrate about the centroid in a Brownian motion 2006.11.10 72006.11.10 7 Chapter 6 Architecture and Equilibria 6.3 Synaptic convergence to centroids: AVQ Algorithms We shall prove that: Competitive AVQ synaptic vector converge exponentially to pattern-class centroid. They vibrate about the centroid in a Brownian motion m j Competitive learning adaptively quantizes the input pattern space characterizes the continuous distributions of pattern. n R p(x) X X centroid AVQ ^ →
<<向上翻页向下翻页>>
©2008-现在 cucdc.com 高等教育资讯网 版权所有