Hierarchical ART Neural Networks for Character Recognition
碩士 === 逢甲大學 === 機械工程學所 === 97 === In this article, we design simplified ART neural networks based on the concept of In-star and Out-star loop in store and retrieve patterns, and include the simplified ART neural networks in the form of decision tree to make a hierarchical classifier. We investigate...
Main Authors: | Chao-Ying Su, 蘇昭穎 |
---|---|
Other Authors: | Chao Yin Hsiao |
Format: | Others |
Language: | zh-TW |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/54473984208344675798 |
Similar Items
-
Handwritten Chinese Character Recognition by Hierarchical Neural Networks
by: Young-Sheng Chen, et al.
Published: (1994) -
The Hierarchical Approach of Neural Network: for Handwritten Chinese Character Recognition
by: Tai-Ning Yang, et al.
Published: (1993) -
Hierarchical ART Neural Networks for SpeechRecognition
by: jen-pin hsiao, et al.
Published: (2009) -
ART-based Neural Networks for Character Recognition
by: Jung-Liang Hou, et al.
Published: (1994) -
Hierarchical optical character recognition system design based on the Hopfield neural networks
by: Kljajić Nataša, et al.
Published: (2015-01-01)