腐蚀科学与防护技术
腐蝕科學與防護技術
부식과학여방호기술
CORROSION SCIENCE AND PROTECTION TECHNOLOGY
2001年
1期
24-28
,共5页
缓蚀剂%构效关系%ANN
緩蝕劑%構效關繫%ANN
완식제%구효관계%ANN
研究了酸洗缓蚀剂分子结构对缓蚀效果的影响，构造了缓蚀剂构效关系的人工神经网络模型(ANN)，仅从直观的分子结构出发，通过实验方法，检测不同分子结构的有机缓蚀剂的缓蚀效率，分析分子结构及金属表面的状况对缓蚀效率的影响，该结果用于氨基缓蚀剂的缓蚀效率预测系统.
研究瞭痠洗緩蝕劑分子結構對緩蝕效果的影響，構造瞭緩蝕劑構效關繫的人工神經網絡模型(ANN)，僅從直觀的分子結構齣髮，通過實驗方法，檢測不同分子結構的有機緩蝕劑的緩蝕效率，分析分子結構及金屬錶麵的狀況對緩蝕效率的影響，該結果用于氨基緩蝕劑的緩蝕效率預測繫統.
연구료산세완식제분자결구대완식효과적영향，구조료완식제구효관계적인공신경망락모형(ANN)，부종직관적분자결구출발，통과실험방법，검측불동분자결구적유궤완식제적완식효솔，분석분자결구급금속표면적상황대완식효솔적영향，해결과용우안기완식제적완식효솔예측계통.
The relation between the structure and efficiancy of the inhibitors in acid solution can be constructed based on the model of artificial neuro-network(ANN). The inhibitors with varied molecule structures were detected by experiments, then the influence of the molecule structure of the inhibitor and the surface condition of the metals on the efficiancy of the inhibitors was evaluated. The results can be used for forecasting the inhibition efficiancy of the amino-group inhibitors system.
