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. 摘要針對基于單層感知器模型的發(fā)動(dòng)機故障進(jìn)行分類(lèi)器設計，研究了故障信號的學(xué)習樣本容量和分類(lèi)誤判率之間的關(guān)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，由于單層感知機只能處理單純的直線(xiàn)分割問(wèn)題，不同樣本訓練順序在多層感知機是否會(huì )產(chǎn)生如單層感知機類(lèi)似的效應，更值得我們做更進(jìn)一步的研究。
