Analysis and Research of Using Non-linear Quantization Strategy in Hebbian-type Associative Memories

碩士 === 東海大學 === 資訊工程與科學系碩士在職專班 === 94 === In order to widely apply Hebbian-type Associative Memories in every field, the most common way at present time is utilizing VLSI to make Hebbian-type Associative Memories. However, as pattern saving increasing, the number of times between neuron of tradition...

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Bibliographic Details
Main Authors: TAI-FENG CHU, 朱泰峰
Other Authors: Ching-Tsorng Tsai
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/52333178207743016024