摘要
阐述了用三维Ｔ．Ｋｏｈｏｎｅｎ人工神经网络识别钢锭模涂料配方，识别成功率１００％。试验结果表明，该方法具有容错能力强、识别速度快等特点，可望成为识别各种涂料配方的有效辅助手段。
AbstractThis article has described the identification of steelingot mold coating formulation with three dimention-al T. Kohonen intelligent nerve networks, with a100%of successful results. It has been shown thatthis method has the features of higher error tolerantability and fast identification, and has the potential tobe an effective assistant approach to identify variouscoating formulations .
出处
《涂料工业》
CAS
CSCD
北大核心
1995年第4期16-17,15,共3页
Paint & Coatings Industry
