基于神经网络的内燃机油清净剂复配性研究

Study on the compatibility between two detergents of engine oil with neural network

清净剂间的交互作用是很复杂的,两种或多种清净剂间复配性难以用数学模型进行描述,应用神经网络处理非线性问题的强大功能,对清净剂复配性试验的结果进行了处理,并在神经网络的强大推广能力的基础上,计算出内燃机油清净剂复配的最佳比.该值与以前的结论极吻合.

The interaction among detergents is very complex,and is difficult to be described in a mathematic model.The Neural Network is applied to process the data from the experiment.Based on the magic extended ability of the Neural Network,the optimized rate of the two detergents is calculated.This rate tallies with the one concluded in the former article.