Abstract
In this paper, a qualitative model learning (QML) system is proposed to reconstruct the detoxification pathway of Methylglyoxal. First an algorithm is implemented to convert possible pathways to qualitative models. Then a general learning strategy is presented. Finally a clonal selection algorithm is employed to adapt to future possible more complicated pathways and its performance is compared with those of backtracking algorithms.
| Original language | English |
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| Pages | 53-58 |
| Number of pages | 6 |
| Publication status | Published - 2008 |
| Event | 2008 UK Workshop on Computational Intelligence - Leicester, United Kingdom Duration: 10 Sept 2008 → 12 Sept 2008 |
Conference
| Conference | 2008 UK Workshop on Computational Intelligence |
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| Abbreviated title | UKCI '08 |
| Country/Territory | United Kingdom |
| City | Leicester |
| Period | 10/09/08 → 12/09/08 |