| 基于L-M算法网络的卫生瓷干坯强度的预测 |
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| 引用本文： | 黄剑锋,曹丽云,陈立红,沈清,吴建鹏,杨军胜,贺海燕.基于L-M算法网络的卫生瓷干坯强度的预测[J].武汉理工大学学报,2005,27(10):60-63. |
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| 作者姓名： | 黄剑锋 曹丽云 陈立红 沈清 吴建鹏 杨军胜 贺海燕 |
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| 作者单位： | 1. 陕西科技大学材料科学与工程学院,咸阳,712081
2. 陕西科技大学化学与化工学院,咸阳,712081 |
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| 基金项目： | 陕西省教育厅自然科学专项基金(04JK204) |
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| 摘 要： | 采用Levenbcrg—Marquardt算法对BP神经网络进行改进，对获得的实验数据进行训练，首次建立了卫生陶瓷凝胶注模成型工艺中单体、引发剂、交联剂、催化剂含量和坯体干燥强度的映射网络模型，从而可利用该模型来预测在一定的有机成型添加剂含量下卫生陶瓷的干燥强度。结果表明，其预测平均误差小于0.6％，说明神经网络用于卫生陶瓷凝胶注模成型后性能的预测是完全可行的。
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| 关 键 词： | 人工神经网络 卫生陶瓷 干燥强度 |
| 文章编号： | 1671-4431(2005)10-0060-03 |
| 修稿时间： | 2005年4月18日 |
Dry Strength Prediction of Sanitary Ceramics by an L-M Algorithm Artificial Neural Network |
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| HUANG Jian-feng,CAO Li-yun,CHEN Li-hong,SHEN Qing,WU Jian-peng,YANG Jun-sheng,HE Hai-yan.Dry Strength Prediction of Sanitary Ceramics by an L-M Algorithm Artificial Neural Network[J].Journal of Wuhan University of Technology,2005,27(10):60-63. |
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| Authors: | HUANG Jian-feng CAO Li-yun CHEN Li-hong SHEN Qing WU Jian-peng YANG Jun-sheng HE Hai-yan |
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| Affiliation: | HUANG Jian-feng~1,CAO Li-yun~2,CHEN Li-hong~2,SHEN Qing~1,WU Jian-peng~1,YANG Jun-sheng~2,HE Hai-yan~1 |
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| Abstract: | A prediction model for dry strength of ceramic sanitaryware shaped by gelcasting based on improved BP artificial neural net was developed by using the Levenberg-Marquardt training algorithm.The nonlinear relationship in monomer content,initiator content,catalyzer content,crosslinker content and dry strength was established.Dry strength performance of ceramic sanitaryware could be predicted by means of the trained neural net from the giving datum.The results showed that the average prediction error of dry strength was low than 0.6%;and the as-established model was suitable for the dry strength prediction of ceramic sanitaryware. |
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| Keywords: | artificial neural net ceramic sanitaryware dry strength |
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