sample set造句
例句與造句
- Bean style simple property sample sets property value
Bean樣式簡單屬性示例（設(shè)置屬性值） - Bean style indexed property sample sets property value
Bean樣式索引屬性示例（設(shè)置屬性值） - A quick google search yields a sample set of commands to play with
用google可以快速地搜索到一組可供使用的樣本命令： - The program comes with a built - in tutorial and sample set of regular expressions
這個程序帶有一個內(nèi)建的教程和正則表達(dá)式樣例。 - It only need be trained with enough couples of input - output model ( sample set )
經(jīng)過訓(xùn)練的網(wǎng)絡(luò)便提取了蘊藏在樣本集中的非線性映射關(guān)系。 - It's difficult to find sample set in a sentence. 用sample set造句挺難的
- Inject the sample preparations such that each sample set is bracketed by a working standard solution
這句話的意思是樣品溶液和對照品溶液同法操作。 - Db2 connect to sample setting up db2 clients and servers on windows 2000 and above to use kerberos is trivial
在windows 2000及更高版本上設(shè)置db2客戶機和服務(wù)器以便使用kerberos是件非常簡單的事。 - If it is taking more time than desired to run the mining model , you can use intelligent miner to create sample sets for you
如果運行挖掘模型比做決定花費的時間多，您可以使用intelligent miner創(chuàng)建簡單設(shè)置。 - Now that you understand the implications of the compilation , let s use a sample set of results to focus our discussion on couplings
您應(yīng)該已經(jīng)理解了編譯所涉及的問題，現(xiàn)在，就讓我們用一組示例結(jié)果來集中討論耦合。 - ( 2 ) a modular based incremental training method is proposed so as to train the model whenever new sample sets are added to training sets
( 2 )針對嵌入式隱markov模型再學(xué)習(xí)問題，提出一種增量式訓(xùn)練方法?模塊化的訓(xùn)練算法。 - In the first step , i check it with the small sample set , then collect samples as many as possible to check it again to testify the stability
首先采用小樣本進(jìn)行檢驗，然后采集盡可能多的樣本再次對模型進(jìn)行檢驗，以說明預(yù)測模型的穩(wěn)定性。 - The mfpf is especially useful for oxygen sensing applications where sensitivity to drift is important and where sample set - ups must be undisturbed for long periods of time
Mfpf對測定氧化感應(yīng)的應(yīng)用特別有優(yōu)勢，諸如移動的敏感性和樣本組織必須需要長期靜置。 - Compared with the existing incremental svm learning algorithms in which only support vectors are used to represent the original sample set , the proposed algorithm improves the classification precision
與單純使用支持向量代表樣本數(shù)據(jù)集合進(jìn)行增量學(xué)習(xí)的傳統(tǒng)算法相比，使用該算法使分類精度得到了提高。 - After training , the bp can capture the inherent nonlinear mapping relationship held in sample set . while in operation , it can finish any nonlinear mapping from n - dim space of input to m - dim space of output
在運行階段，當(dāng)向網(wǎng)絡(luò)輸入訓(xùn)練時未見過的非樣本時，它便能完成由輸入的n維空間到輸出的m維空間的任意非線性的正確映射。 - A main method to estimate the effect of neural network training depends on the forecast precision of the test samples , but there is no a proper method to select test samples from the sample set
研究內(nèi)容主要是神經(jīng)網(wǎng)絡(luò)訓(xùn)練過程中樣本分配問題。網(wǎng)絡(luò)訓(xùn)練效果的評價依賴于樣本分配方式，而目前進(jìn)行樣本分配主要是依靠經(jīng)驗和技巧的方法存在很大隨機性。
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