我还可以尝试不同的输入参数，或者使用更加科学数据来重新训练模型，以确定是否能够改善此结果。
I might also try different input parameters and also more science data and retrain the model to see if I can improve the results.
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。
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.
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。
Parameters of the model about testing image and about training images are compared to classify the testing image.
本文系统的介绍了条件随机场的定义、模型结构、特征函数、参数估计及其训练方法等。
This text systematically introduces the definition of CRFs, structure of the CRFs model, feature functions, parameter estimate and training methods.
统计机器翻译是利用基于语料库训练得到的统计参数模型，将源语言的文本翻译成目标语言，它是机器翻译的主流方向。
Statistical machine translation (SMT) is the text translation by the statistical parameter models obtained from the training corpus, which has become the mainstream of machine translation research.
在BP网络模型建立时采用了对研究区泥石流活跃程度影响最主要的8个参数作为输入层，并选取了研究区的20个样本对网络进行训练。
When BP network model is established, 8 parameters affecting the debris flows activity of the studying area are chose as the net input layer, and 20 samples are used to train the network.
而对于不同的驾驶室模型，运用该方法，可以训练出其用于反求的神经网络结构，该方法可以很好的对整个驾驶室的座椅几何参数进行反演。
For different cab, using this method, we can train several inverse models to design and optimize the geometric parameters to make the reduction of noise in it.
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 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.
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。
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.
而后给出了条件随机场的定义、模型结构、势函数的定义、参数估计、训练方法和计算方法等。
Then give the definition of CRFs, model structure, the definition of potential function, parameter estimation, training methods and calculation methods.
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。
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.
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。
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.
出一种T -S模型的模糊神经网络，在通常BP算法的基础上，引进混沌机制来训练模糊神经网络的权值参数。
A fuzzy neural network in t s model is constructed. Chaotic mechanism is introduced into the normal BP algorithm to train the weight parameters of the fuzzy neural networks.
本文采用了最大熵模型对预先分好类的IT方面的句子语料进行训练，得到相应特征参数，随之利用这些参数对新的IT领域的单句进行分类。
In this text, we used the maximum entropy model to train the pre-classified sentence material about it, and with the parameter from the training we can classify the new sentences about it.
采用在已知参数范围内随机选取足够的样本的方法来训练危险度分级的神经网络模型。
The ANN model of the dangerous degree classification also trained by random selected enough samples in the range of known parameters.
把1975到2006年全国的客运量数据和其他相关指标作为学习样本，验证寻优参数得到训练模型预测结果的可靠性。
Taking the 1975-2006 National passenger traffic data and other related indicators as a learning sample, then verify the validity of the training model after Parameter Optimization.
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.
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。
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.
以最大熵原理为基础，建立了最大熵瓦斯灾害信息特征提取模型，提出了最大熵模型的参数训练算法。
A maximum entropy model of feature extraction for the gas disaster information is established, with the training algorithm of the maximum entropy presented.
对隐马尔可夫模型训练过程中参数B的优化方法进行改进。
Improve on optimized method of parameter B in the process of HMM training.
参数化随机轨线模型：在说话人识别系统中，经常存在训练语料不足的问题。
Parametric Stochastic Trajectory Model: in a speaker recognition system, it's often encountered that the speech data isn't enough for training.
采用已堵水井影响因素的表征参数，对模型进行训练，应用于13口堵水井的效果预测。
The characterization parameters of the influenced factors for the plugged Wells are used to train the model, and the model is applied to predict the results of 13 water plugging Wells.
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。
The training of the novel model utilizes the maximum likelihood criterion and an effective EM algorithms to adjust model parameters is developed.
最后，对更换后的靶标参数进行重新训练建模，并改变参数周期，对模型进行了验证。
Finally, the network model with new parameters and data was trained and the new network model was obtained through changing parameter periods.
神经网络模型的学习参数为0.01，网络训练迭代次数为500。
The learning parameter is set as 0.01 and the training iteration is taken as 500.
利用模型实验所得到的部分模态参数进行BP网络训练，再用其余部分数据对网络功能进行验证。
The net is trained by parts of modal parameters got by the experiments, and is verified by the rest of modal parameters.
利用模型实验所得到的部分模态参数进行BP网络训练，再用其余部分数据对网络功能进行验证。
The net is trained by parts of modal parameters got by the experiments, and is verified by the rest of modal parameters.
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