Grey non - intrinsic prediction model for indoor air quality 室內(nèi)空氣品質(zhì)的灰色非本征預測模型
This algorithm for non - intrinsic types is efficient , but errs on the side of not saving the data 用于非內(nèi)部類型的此算法是有效的,但是在不保存數(shù)據(jù)方面是錯誤的。
The following is a list of non - intrinsic math functions that can be derived from the intrinsic math functions 以下為非內(nèi)部數(shù)學函數(shù)的列表,這些函數(shù)皆可由內(nèi)部數(shù)學函數(shù)導出:
If you are using non - intrinsic property types , writing the profile data at the end of each page request takes time 如果當前使用非內(nèi)部屬性類型,則在每個頁請求結束時寫入配置文件數(shù)據(jù)要花一些時間。
This is because asp . net does not track whether non - intrinsic types have changed and makes the safest choice by saving all the data 這是因為asp . net不跟蹤非內(nèi)部類型是否已更改,并通過保存所有數(shù)據(jù)來做出最安全的選擇。
However , for non - intrinsic types , asp . net compares the value of the reference , but not necessarily the data maintained by a type instance 但是對于非內(nèi)部類型, asp . net比較引用的值,但是不一定比較類型實例所維護的數(shù)據(jù)。
Then a grey non - intrinsic model for indoor air quality is proposed by combining grey system theory with the definitive physical model 利用原有的確定性物理模擬與灰色系統(tǒng)理論相結合,提出了室內(nèi)空氣品質(zhì)灰色非本征模型。
If any of the values is not an intrinsic type , and any non - intrinsic session value is accessed , then all the session state information is saved 如果其中任一值不是內(nèi)部類型,并且訪問了任何非內(nèi)部類型的會話值,則保存所有會話狀態(tài)信息。
Asp . net can determine whether intrinsic types such as integers and strings have changed , but cannot determine whether non - intrinsic types have changed Asp . net能夠確定整數(shù)和字符串等內(nèi)部類型是否已更改,但是不能確定非內(nèi)部類型是否已更改。
In order to prove correctness and effectiveness of grey non - intrinsic model for indoor air quality analysis , two experimental and numerical simulation examples are presented 通過兩個簡單的實驗,用實驗結果驗證了室內(nèi)空氣品質(zhì)灰色方程的正確性和實用性。