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| 基于灰色神经网络的腐蚀损伤模型 | |
| 引用本文： | 张玎,杨晓华,桑芃,徐丽,高绍嵩.基于灰色神经网络的腐蚀损伤模型[J].装备环境工程,2009,6(3):65-67. |
| 作者姓名： | 张玎 杨晓华 桑芃 徐丽 高绍嵩 |
| 作者单位： | 1. 海军航空工程学院,青岛分院,山东,青岛,266041 2. 91213部队装备部,山东,烟台,264007 3. 海军飞行学院航空机械教研室,辽宁,葫芦岛,125001 4. 92635部队,山东,青岛,266102 |
| 摘 要： | 为在小样本情况下对腐蚀损伤进行预测，结合灰色系统与神经网络，提出了灰色神经网络模型，利用该模型对已知腐蚀损伤数据进行了预测检验。为对比研究，同时采用灰色系统与神经网络方法预测了损伤值。结果表明，3种预测模型中，灰色神经网络预测精度最高，能够满足工程使用要求。 |
| 关 键 词： | 灰色神经网络 灰色系统 神经网络 |
Corrosion Damage Model Based on Grey Neural Network |
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| ZHANG Ding,YANG Xiao-hua,SANG Peng,XU Li,GAO Shao-song.Corrosion Damage Model Based on Grey Neural Network[J].Equipment Environmental Engineering,2009,6(3):65-67. | |
| Authors: | ZHANG Ding YANG Xiao-hua SANG Peng XU Li GAO Shao-song |
| Institution: | ZHANG Ding , YANG Xiao-hua , SANG Peng , XU Li, GAO Shao-song (1. Naval Aeronautical Engineering Academy Qingdao Branch, Qingdao 266041, China; 2. The 91213th Unit of PLA, Yantai 264007, China; 3. Naval Flying Academy, Huludao 125001, China; 4. The 92635th Unit of PLA, Qingdao 266102, China) |
| Abstract: | In order to predict corrosion damage with small sample, a grey neural network model was put forward, which combined grey model with neural network. This model was used to predict and check the known corrosion damage data. For comparison and analysis, the damage data was also predicted with grey model and neural network. The results showed that the prediction accuracy of the grey neural network is the highest in three models, and it meets the requirements of engineering application. |
| Keywords: | grey neural network grey model neural network |
| 本文献已被 维普 万方数据 等数据库收录！ | |