Name
Title | ||
|---|---|---|
Optimizing for Large Time Delay Systems by BP Neural Network and Evolutionary Algorithm Improving. |
Abstract | ||
|---|---|---|
BP artificial neural network is a non-feedback network. This paper utilizes the initial weights of neural network to choose controller performance. Simultaneously according to the characteristics that process of central air-conditioning energy saving control is the system of multi-parameter and nonlinear time-varying complexity, we analysis and study its algorithm and system architecture. The experimental results demonstrate that new control system gets better results and energy saving. © 2011 ACADEMY PUBLISHER. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.4304/jsw.6.10.2050-2055 | JSW |
Keywords | Field | DocType |
bp artificial neural network,evolutionary algorithm,fuzzy pid control strategy,robusfitness,steady-state error | Intelligent control,Evolutionary acquisition of neural topologies,Energy conservation,Evolutionary algorithm,Computer science,Artificial intelligence,Artificial neural network,Machine learning,Steady state error | Journal |
Volume | Issue | Citations |
6 | 10 | 7 |
PageRank | References | Authors |
0.73 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fan Lin | 1 | 67 | 15.98 |
| Wenhua Zeng | 2 | 136 | 14.83 |
| Jianbing Xiahou | 3 | 25 | 5.42 |
| Yi Jiang | 4 | 50 | 10.64 |