摘要
对神经网络方法中的 BP算法的在分析难溶性硫化物 Ksp的原理与方法作了详细的论述 ,并运用 BP算法进行预测 ,取得了较好的效果。
It made clear statement about K sp of insoluble sulfide by using BP learning algorithm ,and made some predictions. The results proved that ANN was suitable for the study on the K sp of insoluble sulfide.
出处
《河南职业技术师范学院学报》
2000年第3期48-50,共3页
Journal of Henan Vocation-Technical Teachers College
关键词
难溶性硫化物
人工神经网络
溶度积
insoluble sulfide,K_(sp) ,artificial neural network(ANN)