Name
Abstract | ||
|---|---|---|
Atmospheric quality assessment is an important research subject, focusing on the evaluation of the quality of atmospheric environment, a model based on the immune algorithm (IM) is proposed in this paper. The model has the characters of pellucid principle and physical explication. Moreover, the simplification is the important advantage of the method. Experimental results show that the proposed model is effective and feasible for assessing atmospheric quality. It could provide a new reference basis and approach in the field of environment. Therefore it has great potential in the field of assessment the atmospheric quality. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CSSE.2008.1557 | CSSE (1) |
Keywords | Field | DocType |
universal formula,atmospheric quality assessment,pellucid principle,atmospheric quality,new reference basis,great potential,immune algorithm-based atmospheric quality,immune algorithm,atmospheric environment,air pollution control,atmospheric quality assessment model,important advantage,artificial immune systems,harm rate of atmospheric pollution,assessment model,important research subject,pollution,immune system,computational modeling,atmospheric modeling,optimization,artificial neural networks | Artificial immune system,Computer science,Algorithm,Artificial intelligence,Machine learning,Explication | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3336-0 | 0 |
PageRank | References | Authors |
0.34 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Limin Wang | 1 | 1 | 3.07 |
| Xuming Han | 2 | 14 | 4.65 |
| Ming Li | 3 | 5595 | 829.00 |
| Guojun Chen | 4 | 1 | 1.03 |
| Zhang Chijun | 5 | 7 | 3.86 |
| Huimin Zhang | 6 | 0 | 1.01 |