If, however, the sample sizes are large enough, we do not need the assumption of normality. 如果样本容量充分大，就不必做正态假设。
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。
