维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

共被期刊论文引用了2次 您的检索式：您选中1篇文献正在查看引证文献汇总

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	基于BP神经网络的硼铸铁等离子熔凝硬化层性能预测显示文摘采用等离子技术对硼铸铁进行熔凝处理,利用SEM、XRD及显微硬度计对硬化层的组织和性能进行了测试和分析。在此基础上,采用BP人工神经网络建立等离子工艺参数与硼铸铁熔凝硬化层性能之间的神经网络预测模型。结果表明,熔凝层的组织为细小均匀的共晶莱氏体+少量未溶石墨,神经网络预测的硬化层深度和硬度值与试验值相对误差小于4.3%,说明该BP神经网络模型可以较准确预测硼铸铁等离子熔凝硬化层的性能。利用该模型可为实际生产中选择合适的工艺参数提供参考。	彭竹琴李俊魁卢金斌	2015	金属热处理2015，40，5：	2
	2	Prediction of Tensile Properties and Optimization of Electromagnetic Casting Process Parameters in ZL114A Alloys Using Artificial Neural Network and Orthogonal显示文摘Aluminum alloys'properties are sensitive to the electromagnetic casting process parameters very much,which have nonlinear interactive relationship with electromagnetic casting process parameters.In this study,a model was developed for the prediction of the correlation between electromagnetic casting process parameters and tensile properties in aluminum alloys using artificial neural network(ANN).The inputs of the neural network were electromagnetic casting process parameters.including electric field,magnetic field and pouring temperature.The outputs of the model were the tensile properties.including ultimate strength and elongation.The optimal results achieved from the integrated ANN and orthogonal were tested by using experimental results.Consequently,it can be suggested that the combined approach of ANN and orthogonal provides a novel way with respect to the optimization of processing parameters in the field of materials scienc.	GUO Zhi-hong QU Shu-wei	2012	Journal of Iron and Steel Research(International)2012，19，S2：	0

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费