Surface Data Compression by Incremental Approximation of RBF Neural Network
碩士 === 國立臺灣大學 === 電機工程研究所 === 84 === The measurement of three-dimension surface by scanning usually generates huge amount of data occupying very large space of storage. In stead of saving the dimensional data directly, this paper proposes to approximate t...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
1996
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Online Access: | http://ndltd.ncl.edu.tw/handle/85819174739885685144 |