Name
Abstract | ||
|---|---|---|
This paper presents the background and related researches of the intelligent control theory, introduces the related research about fuzzy control theory and neural network. By exploiting the characteristics fuzzy control and neural network, and combining them to make the control decision, we proposed a novel intelligent control system for a sensor network. The system can predict the sensors' states at a certain time in future by learning from the historical sensor data and adjust the working state of certain sensors or controllers by using fuzzy control methods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IIH-MSP.2014.210 | IIH-MSP |
Keywords | DocType | Citations |
neural network,intelligent control,control decision making,intelligent control system,decision making,intelligent control theory,wireless sensor network,sensor network control system,wireless sensor network, neural network, fuzzy control,fuzzy control,wireless sensor networks,historical sensor data,fuzzy control theory,neural nets | Conference | 1 |
PageRank | References | Authors |
0.36 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anqi Wang | 1 | 1 | 0.36 |
| Jin Liu | 2 | 316 | 50.24 |
| Xiaofeng Wang | 3 | 22 | 5.81 |
| Jin Wang | 4 | 61 | 6.40 |