Name
Title | ||
|---|---|---|
Prediction and Key Computer Programming of Mechanical Properties of Hot Rolled Plate Based on BP Neural Network |
Abstract | ||
|---|---|---|
Based on the theory of artificial neural network, BP algorithm is used for the training of networks,and the relationship between the controlling parameters in hot rolling (temperature, rolling press, chemical composition, cooling rate, etc) and the parameters of mechanical properties is established, key computer programming has been determined. The calculation results are in good agreement with the experimental results. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CSE.2009.102 | CSE (2) |
Keywords | Field | DocType |
mechanical property,bp neural network,controlling parameter,hot rolled plate,steel rolling,calculation result,programming,hot rolling,plates (structures),bp artificial neural network,backpropagation,key computer programming,mechanical properties prediction,good agreement,steel industry,mechanical properties,mechanical property prediction,artificial neural network,neural nets,bp algorithm,chemical composition,chemicals,production,neural network,data mining,artificial neural networks | Computer science,Cooling rate,Artificial intelligence,Backpropagation,Artificial neural network,Computer programming | Conference |
Volume | ISBN | Citations |
2 | 978-0-7695-3823-5 | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qinghua Zou | 1 | 133 | 11.09 |
| Li Chen | 2 | 0 | 0.68 |
| Naixue Xiong | 3 | 2413 | 194.61 |
| Shengzhong Zou | 4 | 0 | 0.68 |
| Chuanbing Wang | 5 | 0 | 0.68 |