Optimization of steel casting feeding system based on BP neural network and genetic algorithm
The trial-and-error method is widely used for the current optimization of the steel casting feeding system, which is highly random, subjective and thus inefficient. In the present work, both the theoretical and the experimental research on the modeling and optimization methods of the process are stu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundry Journal Agency
2016-05-01
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| Series: | China Foundry |
| Subjects: | |
| Online Access: | http://ff.foundryworld.com/uploadfile/2016060853438761.pdf |