Comparison of RBF and BP Neural Network Onheat Transfer Performance Prediction of Evaporative Condenser with Countercurrent Bubbling Plate

2022 ◽  
Vol 11 (01) ◽  
pp. 88-100
Author(s):  
权 陈
2008 ◽  
Vol 33-37 ◽  
pp. 1283-1288 ◽  
Author(s):  
Chao Hua Fan ◽  
Yu Ting He ◽  
Hong Peng Li ◽  
Feng Li

Genetic algorithm is introduced in the study of network authority values of BP neural network, and a GA-NN algorithm is established. Based on this genetic algorithm-neural network method, a predictive model for fatigue performances of the pre-corroded aluminum alloys under a varied corrosion environmental spectrum was developed by means of training from the testing dada. At the same time, a fuzzy-neural network method is established for the same purpose. The results indicate that genetic algorithm-neural network and fuzzy-neural network can both be employed to predict the underlying fatigue performances of the pre-corroded aluminum alloy precisely.


Author(s):  
Xiaoman Liu

According to the internal laws and development trends of the management and operation of local public utilities in China, the performance level of local public utility management in our country is predicted, and the corresponding performance evaluation index system is established. It is for the reform of the local public utilities management system in China and related policies. The adjustment has certain positive significance. This paper uses pattern discriminant analysis technology and BP neural network model to build a local public utility management performance prediction model and uses 11 regions in the east, middle, and west of the country as samples to predict the local public utility management performance.


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