Abstract
This work presents a method of modeling intelligent quality control system based on multi-Agent technology. Multi-Agent technology is applied to the quality control process. To simplify the overall process, each process could be regarded as an independent agent. The techniques of artificial neural networks (ANNs) and case-based reasoning are adopted in the intelligent decision to solve the problems of pattern recognition and fault diagnosis. Thus, the solution can provide the decision for process adjustment and control. The sample calculation demonstrates the feasibility of presented method.
| Original language | English |
|---|---|
| Pages (from-to) | 535-539 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 32 |
| Issue number | 5 |
| Publication status | Published - May 2012 |
Keywords
- Artificial neural networks
- Case-based reasoning
- Intelligent quality
- Multi-Agent
- Quality control