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| 基于反向神经网络的陶瓷材料Vickers硬度预测 | |
| 引用本文： | 孙德明,刘玉婷,王永国,许崇海,张长强. 基于反向神经网络的陶瓷材料Vickers硬度预测[J]. 中国陶瓷工业, 2005, 12(3): 31-33 |
| 作者姓名： | 孙德明 刘玉婷 王永国 许崇海 张长强 |
| 作者单位： | 1. 山东大学材料科学与工程学院,济南,250061 2. 山东轻工业学院,济南,250100 3. 浪潮集团有限公司,济南,250014 |
| 基金项目： | 山东省自然科学基金(编号:Y2001F02)，优秀中青年科学家科研奖励基金(编号:2000-49)资助项目 |
| 摘 要： | 误差反向传播神经网络(BP网络)具有能够正确逼近非线性映射关系的优点。将其运用到复相结构陶瓷材料Vickers硬度预测当中，克服了陶瓷材料研究中单因素实验法不能正确反映Vickers硬度与添加组分多因素之间复杂非线性关系的弱点，通过硬度预测和试验验证表明，该方法可行有效，为快捷、经济地开发研制新的陶瓷材料提供了新的思路和有效手段。 |
| 关 键 词： | BP神经网络 陶瓷材料 Vickers硬度 预测 |
| 文章编号： | 1006-2874(2005)03-0031-03 |
| 修稿时间： | 2004-08-30 |
PREDICTION OF CERAMICS VICKERS HARDNESS BASED ON BP NEURAL NETWORK |
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| Sun Deming,Liu Yuting,Wang Yongguo,Xu Chonghai,Zhang Changqiang. PREDICTION OF CERAMICS VICKERS HARDNESS BASED ON BP NEURAL NETWORK[J]. China Ceramic Industry, 2005, 12(3): 31-33 | |
| Authors: | Sun Deming Liu Yuting Wang Yongguo Xu Chonghai Zhang Changqiang |
| Affiliation: | Sun Deming1 Liu Yuting2 Wang Yongguo2 Xu Chonghai2 Zhang Changqiang3 |
| Abstract: | A Vickers hardness predicting system of advanced ceramic composites based on BP neural network was developed, which can precisely predict the relationship between material composition and the Vickers hardness through self-training with the present data, and can perfectly aid the ceramic materials design. This system has friendly interfaces, extensive application, good operating feasibility and reliability examined with the present Al2O3/SiC/(W, Ti)C ceramics. |
| Keywords: | BP neural network advanced ceramic composites Vickers hardness prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
