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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiong Shenshu Zhou Zhaoying Zhong Limin Zhang Wendong |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Precision Instrum. & Mechanology, Tsinghua Univ., Beijing, China (Xiong Shenshu) |
| Abstract | In this paper, a theorem on approximation to Boolean functions by neural networks and its proof are proposed. A Boolean function, f:{0,1}n/spl rarr/{0,1} is proved to be approximated by a three layer neural network with 2/sup n/ hidden nodes. With the theorem, a thinning algorithm using the neural network technique is concluded. A hard processor implementing the thinning algorithm is designed to raise the thinning efficiency, which can meet the practical needs better. This makes the algorithm suitable for real-time image processing. |
| Starting Page | 1004 |
| Ending Page | 1008 |
| File Size | 394128 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780358902 |
| ISSN | 10915281 |
| DOI | 10.1109/IMTC.2000.848892 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-05-01 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Boolean functions Neural networks Approximation algorithms Image processing Mathematics Digital systems Piecewise linear approximation Instruments Electronic mail Algorithm design and analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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