Predictive Model of Performance of Metal-packed Evaporative Air Conditioning System
CSTR:
Author:
Affiliation:

Clc Number:

TB657.5

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Based on characters of Artificial Neural Network(ANN) such as non-liner mapping,self-learning,the ANN model was set up to predict the relationship between effective factors and performance of metal-packed evaporative air conditioning system.In order to reflect the performance of the predictive model,experimental data were used to test and verify the model.The outcome of the ANN model is in good agreement with experimental data and relative difference is within 6 percent.So it is feasible to predict the performance of metal-packed evaporative air conditioning system.

    Reference
    Related
    Cited by
Get Citation

牛润萍,由世俊,张欢.金属填料蒸发型空调系统性能的预测模型[J].重庆大学学报,2007,30(5):103~107

Copy
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:January 23,2007
  • Adopted:
  • Online:
  • Published:
Article QR Code