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momentum parameter
相关语句
  动量因子
     In this paper, the effects of momentum parameter on BP network' s capability are studied and on the basis of research conclusion, an improved BP network learning method is presented.
     本文对添加动量项的BP算法中动量因子对网络收敛速度和收敛精度的影响进行了分析研究,并在此基础上提出了一种改进的算法。
短句来源
  动量项系数
     However, with a fixed momentum parameter, the momentum term will have an accelerating effect only if the current downhill gradient of the error function —E_ω(k) and the last change in weight △ω(k-1) has a similar direction.
     尽管如此,只有当目前的梯度下降方向与上一步的权值改变的方向相近时,这种动量项系数为正常数的BPM算法才具备加速的功能。
短句来源
     The method of B P algorithm was combined with the simulating annealing algorithm,which makes the selection of networks structure and the determination of momentum parameter α and learning rate η more reasonable. The learning efficiency and the calculating precision was improved. The result proved availble for finding up an optimum heat treatment regime and for component part design for high strength high fracture toughness steel.
     用人工神经网络方法对高合金高强高韧钢的性能优化问题进行了研究.并结合模拟退火算法对BP算法进行了改进,使得网络结构的选取、动量项系数α及学习率η的确定更加合理,提高了网络的学习效率,改善了预测精度.研究结果可用于高强高韧钢的成分设计及热处理工艺的优化.
短句来源
  “momentum parameter”译为未确定词的双语例句
     When the learning rate (η) , momentum parameter, Sigmoid parameter and the neuron numbers of the hidden layer were 0. 08 , 0.7, 0. 92 and 9, the calculated pHs fitted the reported optimum pHs of xylanase very well and the MAPEs ( Mean Absolute Percent Error) was 3. 29% . At the same time, the predicted pHs fitted the reported optimum pHs well and the MAE (Mean Absolute Error) was 0. 59 pH unit.
     当学习速率为0.08、动态参数为0.7、Sigmoid参数为0.92,隐含层结点数为9时,模型的拟合残差为0.001 09,对pH值拟合的平均绝对百分比误差为3.29%,同时具有良好的预测效果,预测的平均绝对误差为0.59个pH单位。
短句来源
     When the learning rate,momentum parameter,Sigmoid parameter and the neuron numbers of the hidden layer was 0.07,0.8,0.96 and 5,respectively,the calculated temperatures fitted the reported optimum temperatures very well. The mean absolute percent error was 4.97%.
     结果表明,当学习速率为0.07、动态参数为0.8、Sigmoid参数为0.96,隐含层结点数为5时,模型对温度拟合的平均绝对百分比误差为4.97%,绝对误差为3.03℃.
短句来源
     Neural network construction of optimal calculation, changeable learning rate parameter η and momentum parameter α are used. Features that can effectively represent load variations are chosen. The test results of practical example demonstrate that the proposed method is effective, its forecast precision is higher than that of conventional methods,convergence is good and operation speed is fast.
     采用了优化计算的神经网络结构、可变的学习率η和动量α,选取了能充分反映负荷变化规律的特征量.实例计算表明,方法有效,预测精度比常规方法高,收敛性好,运算速度快
短句来源
     The results showed that the mean calculated error was 2.24% when the learning rate was 0.08,the momentum parameter was 0.8,the SIGMOID parameter was 0.8,the neuron number of the hidden layer was 6.Under a flask contents 100 mL medium,the network was used to look for the optimum conditions,and got the optimization conditions,i. g.
     当网络的学习速率为0.08,动态参数为0.8,SIGMOID参数为0.8,隐含层神经原数为6时,网络的拟合平均误差为2.24%.
短句来源
  相似匹配句对
     n—Parameter CAPM
     n个参数的资本性资产定价模型
短句来源
     estimation of its parameter;
     评定运动模糊的参数;
短句来源
     Momentum to Civilization
     文明的动力
短句来源
     MOMENTUM AND CHARACTER
     气势与气韵
短句来源
     Recursive TLS Parameter Estimation Methodand Its Applications in Momentum Wheel FDD
     递推的 TLS 参数估计方法及其在飞轮 FDD 中的应用
短句来源
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  momentum parameter
It is observed that the trajectories assume a cuspidal form at the lower and upper range of the travel, when the angular momentum parameter coincides with these points.
      
We used feed-forward neural networks trained with the well known back-propagation algorithm, with momentum parameter.
      
The low electron-momentum parameter S as a function of the positron implantation energy in two Mg-doped GaN layers grown on sapphire.
      
The momentum parameter was periodically adjusted to speed the rate of descent along the error surface.
      


This article profoundly revealed the reference system problem in momentum dotand momentum parameters cd the "dot complex motion"; and the absolutederivative and relative derivative for any variable vector and K's accelerationproblem, etc.

本文深刻地揭示了“点的复合运动”中动点和动参考系的问题、任一变矢量的绝对导数、相对导数的问题和科氏加速度等问题.

The optimization of properties of high strength and high fracture toughness steels was investigated by artificial neural networks. The method of B P algorithm was combined with the simulating annealing algorithm,which makes the selection of networks structure and the determination of momentum parameter α and learning rate η more reasonable. The learning efficiency and the calculating precision was improved. The result proved availble for finding up an optimum heat treatment regime and for component...

The optimization of properties of high strength and high fracture toughness steels was investigated by artificial neural networks. The method of B P algorithm was combined with the simulating annealing algorithm,which makes the selection of networks structure and the determination of momentum parameter α and learning rate η more reasonable. The learning efficiency and the calculating precision was improved. The result proved availble for finding up an optimum heat treatment regime and for component part design for high strength high fracture toughness steel.

用人工神经网络方法对高合金高强高韧钢的性能优化问题进行了研究.并结合模拟退火算法对BP算法进行了改进,使得网络结构的选取、动量项系数α及学习率η的确定更加合理,提高了网络的学习效率,改善了预测精度.研究结果可用于高强高韧钢的成分设计及热处理工艺的优化.

Neural network construction of optimal calculation, changeable learning rate parameter η and momentum parameter α are used. Features that can effectively represent load variations are chosen. The test results of practical example demonstrate that the proposed method is effective, its forecast precision is higher than that of conventional methods,convergence is good and operation speed is fast.

采用了优化计算的神经网络结构、可变的学习率η和动量α,选取了能充分反映负荷变化规律的特征量.实例计算表明,方法有效,预测精度比常规方法高,收敛性好,运算速度快

 
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