Abstract
Polynomial time training and network design are two major issues for the neural network community. A new algorithm has been developed that can both "design" an appropriate network and "train" it in polynomial time. Network design is no longer a black art. The algorithm is for classification problems and uses linear programming formulations in designing and training the network. This paper will summarize the new algorithm.
| Original language | English (US) |
|---|---|
| Title of host publication | Conference B |
| Subtitle of host publication | Pattern Recognition Methodology and Systems |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 5-8 |
| Number of pages | 4 |
| Volume | 2 |
| ISBN (Print) | 0818629150 |
| DOIs | |
| State | Published - Jan 1 1992 |
| Event | 11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands Duration: Aug 30 1992 → Sep 3 1992 |
Other
| Other | 11th IAPR International Conference on Pattern Recognition, IAPR 1992 |
|---|---|
| Country | Netherlands |
| City | The Hague |
| Period | 8/30/92 → 9/3/92 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
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Cite this
Roy, A. (1992). On linear programming, neural network design, pattern classification and Polynomial time training. In Conference B: Pattern Recognition Methodology and Systems (Vol. 2, pp. 5-8). [201709] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.1992.201709