train error 中文意思是什麼
train error
解釋
方向誤差-
Finally, most supervised learning neural networks train themselves through minimizing mean squared error. but when the neural network models trained in this way are used to do forecasting, the existence of outliers result in great imprecision
最後，大多數監督學習神經網路是通過最小化訓練集的均方差來訓練網路，而野值的存在導致這種訓練的神經網路模型在預測時會產生極大的不精確性。 -
The critical error has been found through computation, which is the error circling the gear. the load sharing characteristics of two kind of star - type gearing train has been determined through comparison. based on computation, the load sharing capability of two - stage external gear train is better than that of two - stage internal and external gear train
其次，從靜力學的角度分析了各誤差對系統均載性能的影響，比較了各誤差對系統均載性能影響的大小，得到了較大的影響系統均載的誤差因素，即圓周方向分佈的誤差；比較了兩種星型齒輪系統的均載性能，根據計算結果，兩級外嚙合傳動系統的均載性能要好於兩級內外嚙合傳動系統。 -
This error - based detecting method is improved, that is, predicting the chaotic noise is changed to estimating the chaotic noise. a predicting method is improved to an estimating method to estimate the chaotic noise. then the time used to train the parameters is saved, and no invalid detection will be gotten even if signals come into
4 、改進了誤差檢測方法，即，將預測混沌噪聲改為估計混沌噪聲，並改進了一種非線性預測演算法，將其用於估計混沌噪聲，省去了參數訓練的時間，避免了參數尚未訓練好時就有信號進入背景噪聲中，而使檢測無效的情況。 -
The algorithm can keep the structure difference among networks meanwhile reducing the train error of the network
通過保持網路間的結構差異，提高神經網路集成預測的泛化能力。 -
The main research contents are as follovvs : after the analyzing of the process of making train diagram, according with its character, and take into account the trend of innovation, chooses the total solution based on the b / s architecture, 3 - tier operation distributed and 2 - tier data distributed to separate the data from operation and simplify the development and maintenance ; the e - r data model that is accord with the 3nf criterion is designed after analyzing the data structure of the train diagram system. emphasis on the permission security of the distributed system, take the view schema, coupled with the login authentication and permissions validation, to ensure the data accessing domination, and take the synchronization, error control, and restore capability to advance the data security ; on the basis of b / s solution architecture, after comparing the existing transportation technologies, b - isdn and adsl is selected as the major solution architecture based on the package - svvitched networks. furthermore, error control, firewall, and encryption techniques are introduced to prevent the hacker attack and ensure the networks safety
論文的主要研究內容包括：對目前我國列車運行圖管理體制和編制流程進行詳細分析，根據其「幾上幾下」的特點，並結合未來「網運分離」體制改革的變化預測，選擇採用與之相適應的基於b s體系架構、三層業務分佈、二層數據分佈的整體方案，實現業務與數據的分離，降低開發與應用過程的復雜度和總體成本；對列車運行圖系統的數據信息進行分析，設計符合3nf規范的數據e - r關系模型，並著重研究處于分散式系統中的列車運行圖數據信息的訪問權限和數據安全問題，提出以視圖模式結合用戶識別權限審定實現數據權限劃分，以並發處理、容錯技術、恢復技術提高系統的數據安全性；在基於b s架構的系統整體方案基礎上，對當前多種數據傳輸技術進行分析比較，採用b - isdn為主幹網、 adsl為接入端的基於公用數據網路分組交換技術的系統網路體系結構，並針對網路自身安全性和黑客攻擊與侵入問題，詳細討論綜合採用差錯控制、防火墻、數據加密解密等技術手段提高系統的網路安全性能。 -
Due to the complexity of noise prediction calculation, the train running noise was taken as line sound source to predigest the model in fore prediction commonly, by this way, the error of the result and the fact value was relatively great
由於噪聲預測計算的復雜性，在以前的預測方法中一般都是將列車運行噪聲作為線聲源，以使預測模型簡化，這樣得到的結果與實際值之間誤差較大。 -
This paper proposes a new algorithm adopting the multi - trajectory dynamic tunneling technique and the error - limitation dynamic changing technique to train the bp neural networks. the simulation results are provided for three different examples to demonstrate the performance of the proposed method in overcoming the problems of initialization and searching efficiency. the performance of the conventional dynamic tunneling technique and the multi - trajectory dynamic tunneling technique in training bp neural networks are also given and compared in this paper
並將該演算法在xor 、某醫藥公司物流數據和kddcup三個數據集上進行了測試，對傳統動態隧道技術訓練bp網路演算法（ dttbp ） 、單純使用多軌道思想的動態隧道技術訓練bp網路演算法（ smdttbp ）和本文提出的使用多軌道動態隧道思想結合動態修改誤差限方法的多軌道動態隧道訓練bp網路演算法（ mdttbp ）的實驗結果進行了對比分析，證明提出的演算法可以有效地避免陷入局部極小，同時也提高了傳統動態隧道技術訓練bp網路演算法的搜索效率。
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