Abstract
An intelligent design model of structural form selection based on case reasoning is put forward to simulate the way of thinking in images of experts. The essence of case retrieval lies in clustering and classification of patterns. Neural computing, pattern recognition and case-based reasoning (CBR) are integrated into a hybrid intelligent design system, to generate a CBR method based on neural pattern recognition. The effectiveness of this method is shown by its application in the design practice of structural form selection of high-rise buildings.
| Original language | English |
|---|---|
| Pages (from-to) | 1418-1421 |
| Number of pages | 4 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 35 |
| Issue number | 12 |
| State | Published - Dec 2003 |
| Externally published | Yes |
Keywords
- Case based reasoning
- Pattern recognition
- Scheme generation
- Structural form selection
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