Name
Title | ||
|---|---|---|
A SVR-Based multiple modeling algorithm for antibiotic fermentation process using FCM |
Abstract | ||
|---|---|---|
A multiple modeling algorithm for antibiotic fermentation process based on fuzzy c-means (FCM) and support vector regression (SVR) is proposed. By analyzing the features of antibiotic fermentation, the mechanism of multiple modeling of the bioprocess is presented. Using FCM clustering method, the bioprocess is classified into several work states and sub-models. Then, taking advantage of the generalization properties of SVR, the multiple model of bioprocess is established and the proposed algorithm is described. Experimental data of industrial penicillin production is used to validate the model. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427469_110 | ISNN (3) |
Keywords | Field | DocType |
svr-based multiple modeling algorithm,multiple modeling,antibiotic fermentation,antibiotic fermentation process,multiple model,generalization property,fuzzy c-means,multiple modeling algorithm,experimental data,proposed algorithm,fcm clustering method,support vector regression,fermentation process | Data mining,Computer science,Fuzzy logic,Support vector machine,Algorithm,Artificial intelligence,Cluster analysis,Bioprocess,Fermentation,Machine learning | Conference |
Volume | ISSN | ISBN |
3498 | 0302-9743 | 3-540-25914-7 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yao-feng Xue | 1 | 1 | 1.73 |
| Jing-Qi Yuan | 2 | 26 | 4.97 |