Name
Title | ||
|---|---|---|
The lake water bloom intelligent prediction method and water quality remote monitoring system |
Abstract | ||
|---|---|---|
According to the lagging state of water quality monitoring and problems of difficulty to predict water bloom, one water bloom prediction method based on grey-BP neural network is proposed and a system on water environmental remote monitoring and water bloom early warning based on GPRS wireless communication technology is built, which can obtain the automatic real-time monitoring information for the change of water quality and occurrence of water bloom, then provide a kind of efficient and practical system for water environment control. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICNC.2010.5584552 | ICNC), 2010 Sixth International Conference |
Keywords | DocType | Volume |
water environment control,water environmental remote monitoring,grey-bp neural network,water quality,grey systems,gprs wireless communication technology,gprs,computerised monitoring,water quality remote monitoring system,lake water bloom intelligent prediction method,backpropagation,water quality monitoring,environmental science computing,water bloom prediction,packet radio networks,environmental factors,water bloom early warning,automatic real-time monitoring information,lagging state,neural nets,real-time systems,artificial neural networks,water resources,predictive models,water pollution,ground penetrating radar,real time systems | Conference | 7 |
Issue | ISSN | ISBN |
null | null | 978-1-4244-5958-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoyi Wang | 1 | 37 | 16.96 |
| Dai Jun | 2 | 0 | 0.34 |
| Zaiwen Liu | 3 | 7 | 7.23 |
| Xiaoping Zhao | 4 | 0 | 0.68 |
| Suoqi Dong | 5 | 0 | 0.68 |
| Zhiyao Zhao | 6 | 16 | 5.45 |
| Zhang Miao | 7 | 0 | 0.34 |