作者
Toshifumi Minemoto, Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui
发表日期
2016/3
期刊
Artificial Life and Robotics
卷号
21
页码范围
106-111
出版商
Springer Japan
简介
The aim of this paper is to investigate storing and recalling performances of embedded patterns on associative memory. The associative memory is composed of quaternionic multistate Hopfield neural network. The state of a neuron in the network is described by three kinds of discretized phase with fixed amplitude. These phases are set to discrete values with arbitrary divide size. Hebbian rule and projection rule are used for storing patterns to the network. Recalling performance is evaluated through storing random patterns with changing the divide size of the phases in a neuron. Color images are also embedded and their noise tolerance is explored.
学术搜索中的文章
T Minemoto, T Isokawa, H Nishimura, N Matsui - Artificial Life and Robotics, 2016