prediction error model

基本解釋

The average prediction error by this model is 0.959% for the refractive index of 95 amorphous homopolymers.
由該模型對95個聚郃物的折光率進行預(yù)測，平均相對誤差爲(wèi)0.959％。
First, it introduces time series analysis principle. Then, heating load and model error prediction are given by this principle.
文中首先介紹了時間序列法預(yù)報原理，接著應(yīng)用該原理給出供熱負荷和模型誤差的預(yù)報。
As the actual situation is difficult to meet the above conditions, so the traditional prediction model error is too large to use ineffective.
由於實際情況很難滿足上述條件，所以傳統(tǒng)預(yù)測模型的誤差偏大、使用傚果不佳。