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train error in Chinese

Pronunciation:
How to pronounce "train error""train error" in a sentence

Translationmobile phoneMobile

  • 方向誤差

Examples

  • The choice of the value of the training error of a neural network is a challenging problem
    神經(jīng)網(wǎng)絡(luò)訓練誤差值的選取是一個具有挑戰(zhàn)性的問題。
  • The algorithm can keep the structure difference among networks meanwhile reducing the train error of the network
    通過保持網(wǎng)絡(luò)間的結(jié)構(gòu)差異,提高神經(jīng)網(wǎng)絡(luò)集成預測的泛化能力。
  • With application to civil engineering , this thesis advises a new method for determining the training error of a neural network by taking into account the stochastic characteristic of the training samples
    結(jié)合土木工程應用,考慮訓練樣本的隨機特性,本文提出了一個新的選取訓練誤差初始值的方法。
  • This paper ' s study was emphasized on : 1 . set up bp neural network set up bp network by matlab toolbox . chosen transfer function among every layer , training error and learning rate were included
    重點研究內(nèi)容: ( 1 )建立bp ( backpropagation )神經(jīng)網(wǎng)絡(luò)用matlab提供的人工神經(jīng)網(wǎng)絡(luò)工具箱建立網(wǎng)絡(luò),包括選擇各層間的傳遞函數(shù)、確定網(wǎng)絡(luò)訓練誤差和學習速率等,為建立定價模型做準備。
  • As for a certain value of the training error , if the predicted value of a neural network model lies in true value confident interval , it is believed that the true value of a neural network output variable be obtained , and the training process of a neural network is over
    該方法由實測值求出相應的真值置信區(qū)間,若訓練誤差的取值使得網(wǎng)絡(luò)預測值落在真值置信區(qū)間內(nèi)就可以認為此時的訓練學習反映了網(wǎng)絡(luò)輸出變量的真值情況,學習就可以結(jié)束。
  • The main conclusions are as follows : through the different structure and algorithm application of bp model in the predication of regional groundwater hydrology , the hidden layers number , learning rates , neuron number of hidden layer and training errors of bp model and accelerated bp algorithm which influence the convergence effects and test results of model are compared each other . some application technology related parameters of bp structure design are put forward
    論文取得了以下主要成果:通過不同bp網(wǎng)絡(luò)結(jié)構(gòu)和算法在區(qū)域地下水文預測中的實例研究,重點比較了不同層次結(jié)構(gòu)、隱層單元數(shù)、學習速率、訓練收斂誤差等4個基本要素及不同算法、不同樣本容量等對模型收斂效果、模擬、檢驗與預報結(jié)果的具體影響。
  • Based on the formers , this dissertation efficiently selects the face features abstracting using ica . with no decline of recognition rate , the feature dimension is reduced , so the course of recognition is accelerated . support vector machine pattern recognition method is based on vc dimension theory , adopting the srm principle and considering training error and the generalization ability , which has shown many special advantages in dealing with small samples , non - linear and pattern recognition in high dimension
    本文采用基于矩陣s的人臉表示方法,將ica特征選擇的概念和算法用于人臉特征的提取和優(yōu)化,在不影響識別率的情況下,降低了特征維數(shù),提高了識別速度;支持向量機( svm )模式識別方法基于vc維理論,采用結(jié)構(gòu)風險化原理,兼顧訓練誤差和泛化能力,在解決小樣本、非線性及高維模式識別問題中表現(xiàn)出許多特有的優(yōu)勢;對于多類問題,介紹并采用了“一對一”的策略進行svm分類器設(shè)計;對于圖像預處理,詳細介紹了幾何歸一化的算法步驟。
  • 1 . this thesis puts forward a new model ? the model of crop ' s water rising and vaporizing regression nerve networks ( nn ) . this model adds a deviation cell based on existing bp ( nn ) the effect of the deviation cell is to amend training errors of the nn , to increase convergence speed of the nn , and to reach expectant objective
    本文主要完成了以下幾個方面的內(nèi)容: 1 、提出了一個新型的模型? ?作物蒸騰蒸發(fā)回歸神經(jīng)網(wǎng)絡(luò)決策模型,該模型以已有的bp神經(jīng)網(wǎng)絡(luò)為基礎(chǔ),增加了一個偏差單元,該偏差單元的作用是修正網(wǎng)絡(luò)的訓練誤差、提高網(wǎng)絡(luò)的收斂速度,從而達到預期的目的。
  • The result of fault diagnosis simulation tests indicates that the fault diagnosis system could make training error reach to the aim value quickly and efficaciously for all pulverizing system fault samples . at the same time , simulation tests prove that the fault samples with the signal of zero or one of pulverizing system and bp neural network model are correct , and this system faults can be diagnosed exactly and quickly . obviously , this research is successful and lay the foundation for the development of pulverizing fault diagnostic system
    其故障診斷仿真實驗結(jié)果表明,應用本文所開發(fā)研究的制粉系統(tǒng)各故障樣本及其相關(guān)故障樣本訓練時均能快速有效地收斂于一個設(shè)定的系統(tǒng)誤差值;同時其故障診斷的仿真實驗證明了本文所建立的以0 、 1為征兆量的制粉系統(tǒng)故障樣本和bp神經(jīng)網(wǎng)絡(luò)模型是正確的,且能快速、較準確地對故障情況作出判斷,顯然,本文的工作是有成效的,為制粉系統(tǒng)故障系統(tǒng)進一步開發(fā)奠定了基礎(chǔ)。
What is the meaning of train error in Chinese and how to say train error in Chinese? train error Chinese meaning, train error的中文,train error的中文train error的中文,translation, pronunciation, synonyms and example sentences are provided by ichacha.net.