The structure contains all the decision tree training parameters.
该结构包含了所有的决策树训练所需的参数。
Training was conduced by artificial neural networks, the training parameters are optimized.
对网络进行学习训练，并进行了网络结构及其学习参数优化；
Threshold and training parameters are not needed with this method, but can recognize higher-order digital modulation types.
该方法无需设置判决门限，也无需进行参数训练，且可以识别大于四阶的数字调制类型。
Our evaluation shows high accuracy on both synthetic and real test sets, and investigates the effect of several training parameters.
我们的评估，显示在合成数据和真实测试数据集上都有较高的准确率，并调查到一些训练影响参数。
The different effect arising from the training parameters to the rate of convergence of neural networks are gained though the training of networks by using different training parameters.
通过不同训练参数对神经网络进行训练，得到了其对网络的收敛速度的不同影响。
Parameters of the model about testing image and about training images are compared to classify the testing image.
通过比较被测试图像的模型参数和训练集图像的模型参数确定被测试图像的类别。
The typical computation model of training effectiveness of training plane has limitation in selection of flight parameters as well as insufficient attention to avionics and control system.
典型的教练机训练效能计算模型对飞机的航空电子系统、操纵系统考虑不足，对飞行参数选择有局限性。
In the first place, by exploiting the uncorrelation between the training and information sequences, primary channel parameters were obtained without loss of bandwidth.
利用训练序列与信息序列的不相关特性，在没有带宽损失的情况下初步估计出信道参数；
Minimum Classification Error (MCE) criterion based sub-words weighting parameters estimation algorithm is proposed in which the sub-word weighting parameters are derived by the MCE training.
本文提出了一种基于最小分类错误准则(MCE)的子词权重参数估计算法，通过MCE训练得到子词的权重系数。
However, many parameters as well as the training patterns are designed empirically in the original Neocognitron.
然而，在原始神经认知机中许多参数及训练模式都是凭经验设定的。
There exist over learning and the difficulties of selecting suitable parameters when training neural network.
在神经网络的训练当中存在“过学习”现象以及参数难以选择的困难。
And it studied relation between chaos mapping parameters and training error, puts forward chaos mapping parameter adjust steps and applications.
给出了应用实例。还研究了混沌参数与训练误差的关系，提出了混沌参数的调整步骤及应用。
After introducing the structure of the new model, we give the estimation formulas for the parameters of the new model and the algorithms for training and recognition.
本文在给出新模型的框架后，推导了模型参数的估值公式，并给出了模型的训练和识别算法。
Non-iterative method for capturing parameters of the predistorter was realized by the means of linear increasing periodic training sequence and distortion estimation algorithm.
通过引入线性增长的周期性训练序列和失真检测算法，实现了预失真器非迭代方法的参数捕获。
Based on the actual situations, active preventive measures and training were carried out, their health fully evaluated and prognosticated, and the parameters of respirator properly were adjusted.
根据患者的实际情况，在拔管前、中、后期，对其采取积极的防范和训练措施，充分评估和预测身体状况，正确调整呼吸机参数。
Mitigating interference and making full use of the multipath signals, the new method utilizes the total energy of the desired user and does not require the channel parameters and training sequence.
该方法既考虑了对干扰的最大抑制，又强调了对多径信号的充分利用。 它利用了期望用户信号的所有能量，不需要已知信道参数，也不需要发训练序列。
Run the program and accomplish network training module and data simulation module, then can complete the forecast of geometrical figure of welding line, realize the optimization of welding parameters.
运行程序完成了网络训练模块和数据仿真模块，从而可以完成焊缝几何形状的预测，实现焊接参数的优化。
By using the definite parameters of training procedures, a good agreement between the results of predicted and computed settlements of piles is obtained.
研究表明，使用一定的训练参数，得到的预测沉降与最终沉降量具有良好的一致性。
The mapping relationships between the electrical signals and the Stokes parameters can be determined by training the neural network.
通过网络训练，使该网络确立了电路系统输出电信号与入射光斯托克斯参数之间的映射关系。
Machining effectiveness prediction and parameters optimization is considered in this software. Moreover it can be used on different wire EDM machine tools through models training module.
仿真系统应该能够实现线切割加工工艺效果的预测，加工工艺参数的优化，而且通过训练模型的功能，能适用于不同类型的高速走丝线切割机。
The training of the novel model utilizes the maximum likelihood criterion and an effective EM algorithms to adjust model parameters is developed.
新模型的训练采用最大似然准则，并改进了EM算法来调整模型参数。
It can identify the parameters of a controlled object by forming a fake output and bring in a feedback error for performing an on-line training to decouple the neural network.
它通过构造伪输出辨识被控对象参数，引进反馈误差，实现对解耦神经网络的在线训练。
The traditional training methods of Gaussian Mixture Model(GMM) are sensitive to the initial model parameters, which often leads to a local optimal parameter in practice.
为了解决传统高斯混合模型（GMM）对初值敏感，在实际训练中极易得到局部最优参数的问题，提出了一种采用微粒群算法优化GMM参数的新方法。
The learning of Bayesian Networks is an important tache, which combines training data with prior knowledge and model evaluation to acquire the structure hidden in data and parameters.
贝叶斯网络的学习是数据挖掘中非常重要的一个环节，是将先验知识和模型评价融入训练数据，获得数据中隐藏的拓扑结构和参数的过程。
Second train the network well though training-samples and obtained the best network parameters vector.
然后通过教师样本数据对网络进行充分的训练，获得适宜的参数矩阵；
The experiment has provided effective technical parameters for electric stimulation training and scientific basis for its application in physical training and in other fields.
本试验为电刺激训练提供有效的技术参考，并为其在体育训练和其他领域的应用提供了科学依据。
The intelligent simulation model of blast furnace cast steel stave based on correction factor of parameters obtained by training the samples of test data of cast steel stave.
通过训练冷却壁热态试验数据样本，得出了基于参数修正因子的高炉冷却壁的智能仿真模型。
Then a lot of experimental data about welding parameters and corresponding spot welding quality were supplied to the ANN for training.
然后将试验得到的大量点焊工艺参数与相应点焊接头质量的试验数据提供给神经网络学习。
So you will need a training dataset without outliers, a validation dataset with outliers for choosing parameters, and a final test dataset with classifiers to see whether your model generalizes.
所以你需要一个训练集没有异常值，异常值与参数选择的验证数据集，和一个最终的测试数据集的分类看你的模型概括。
So you will need a training dataset without outliers, a validation dataset with outliers for choosing parameters, and a final test dataset with classifiers to see whether your model generalizes.
所以你需要一个训练集没有异常值，异常值与参数选择的验证数据集，和一个最终的测试数据集的分类看你的模型概括。
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