Based on the single-layer perceptron model, a relation between sample size and error classifying for the design of fault classifier for the AFR engine is given. 摘要针对基于单层感知器模型的发动机故障进行分类器设计，研究了故障信号的学习样本容量和分类误判率之间的关系。
It would be interesting to know whether or not different training sequences have the similar effect on the multiple layers perceptron like it is in the single layer perceptron. 另外，由于单层感知机只能处理单纯的直线分割问题，不同样本训练顺序在多层感知机是否会产生如单层感知机类似的效应，更值得我们做更进一步的研究。
