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training output
相关语句
  培训效果
     There lies a serious problem, however, that the training output is far from being ideal.
     然而,人力资源培训工作中却存在一个严重的问题:培训效果极不理想。
短句来源
  训练输出
     The novel learning algorithm highly improve convergence speed and avoid local minima problem. Because of adopting the least squares method,when the training output samples were affected by white noise, this algorithm have good denoising function.
     由于采用了最小二乘方法,当用来训练傅立叶神经网络的训练输出样本受白噪声影响时,本学习算法具有良好的降低噪声影响的功能。
短句来源
     When the training output samples are affected by white noise, the least square method have good denoising function.
     而且,在训练输出样本受白噪声影响时,最小二乘法具有良好的降低噪声影响的功能.
短句来源
  相似匹配句对
     Training
     培训
短句来源
     On Functions of Output in Training Language Intuitions
     论输出对外语语感培养的作用
短句来源
     On Interaction between Attitude and Output in Enterprise Training
     论企业培训中态度与效果的互动
短句来源
     elctronic training
     浅谈电子培训(E-training)
短句来源
     The reproductive output of R.
     桃金娘的生殖产量与其所受的光照强度有很大的关系。
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  training output
The training output from these resources has been strong as well.
      
The objective function, also called the error function, is used to quantify the level of correctness of training output.
      
The value of MSE between the target and ANN training output converges to zero rapidly.
      
To achieve a tradeoff between training output and training burden, we propose a model based training scheme, discussed in the next subsection.
      


Based on Fourier series principle, the single input, multiple outputs (SIMO) Fourier neural networks are proposed. The SIMO Fourier neural networks turn nonlinear mapping relationship into linear mapping relationship , turn the method of solving neural networks' weights from the nonlinear optimization method to linear optimization method, and use the least square method to compute the weights of the network. So, the SIMO Fourier neural networks highly improve the convergence speed and avoid local minima problem....

Based on Fourier series principle, the single input, multiple outputs (SIMO) Fourier neural networks are proposed. The SIMO Fourier neural networks turn nonlinear mapping relationship into linear mapping relationship , turn the method of solving neural networks' weights from the nonlinear optimization method to linear optimization method, and use the least square method to compute the weights of the network. So, the SIMO Fourier neural networks highly improve the convergence speed and avoid local minima problem. When the training output samples are affected by white noise, the least square method have good denoising function.

利用傅里叶级数的原理,构造单输入、多输出(SIMO)傅里叶神经网络,将非线性映射转化成为线性映射,将求解神经网络权值的方法由非线性优化方法转化成为线性优化方法,并采用最小二乘法计算网络的权值,从而大大提高了神经网络的收敛速度并避免了局部极小问题.而且,在训练输出样本受白噪声影响时,最小二乘法具有良好的降低噪声影响的功能.

 
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