教師資料查詢 | 類別: 會議論文 | 教師: 簡丞志 CHENG-CHIH CHIEN (瀏覽個人網頁)

標題:Novel Dynamic Structure Neural Network for Optical Character Recognition
學年93
學期1
發表日期2004/12/18
作品名稱Novel Dynamic Structure Neural Network for Optical Character Recognition
作品名稱(其他語言)
著者Hsiao, Ying-Tung; Chien, Cheng-Chih; Chuang, Cheng-Long
作品所屬單位淡江大學電機工程學系
出版者N.Y.: IEEE (Institute of Electrical and Electronic Engineers)
會議名稱The 4th IEEE International Symposium on Signal Processing and Information Technology
會議地點Rome, Italy
摘要This paper presents a novel dynamic structure neural network (DSNN) and a learning algorithm for training DSNN. The performance of a neural network system depends on several factors. In that, the architecture of a neural network plays an important role. The objective of the developing DSNN is to avoid trial-and-error process for designing a neural network system. The architecture of DSNN consists of a three-dimensional set of neurons with input/output nodes and connection weights. Designers can define the maximum connection number of each neuron. Moreover, designers can manually deploy neurons in a virtual 3D space, or randomly generate the system structure by the proposed learning algorithm. This work also develops an automatic restructuring algorithm integrated in the proposed learning algorithm to improve the system performance. Due to the novel dynamic structure of DSNN and the restructuring algorithm, the design of DSNN is fast and convenient. Furthermore, DSNN is implemented in C++ with man-machine interactive procedures and tested on many cases with very promising results.
關鍵字
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20041218~20041221
通訊作者Cheng-Long Chuang
國別義大利
公開徵稿Y
出版型式
出處Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on, pp.357-360
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