This text systematically introduces the definition of CRFs, structure of the CRFs model, feature functions, parameter estimate and training methods.
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。
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。
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.
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。
The characteristic parameter extraction, the neural network architecture and the network training are given.
文中介绍了特征参数的提取、神经网络的构成以及训练方法。
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.
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。
Improve on optimized method of parameter B in the process of HMM training.
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。
Objective: to investigate the effect of hyperxia convalescence on parameter of red blood cell of hypoxia training rats.
目的：探讨高氧恢复对低氧训练红细胞参数的影响及其机制。
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。
Then give the definition of CRFs, model structure, the definition of potential function, parameter estimation, training methods and calculation methods.
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。
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.
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。
AIM: To observe the improved effect of sport functional parameter and fatigue index in judo athletes after training with athletic nutrition and loading adjustment.
目的：观察运动营养和负荷调整两种方法对柔道运动员训练后运动功能指标和疲劳指标的改善效果。
For SVM, in this paper, a kernel function selection and parameter adjustment algorithm are presented. It can get optimal parameter adjustment in a given training set.
对于SVM，本文给出了一个核函数选择与参数调整的算法，它能够对给定训练集得到最优的参数调整。
However, the classification accuracy of SVM is significantly affected by its training parameter.
然而，支持向量机训练参数的选择对其分类精度有着很大的影响。
Especially in the transmitting antenna correlated parameter unknown circumstances, an innovational channel estimation algorithm which takes use of the long & shot training sequence is proposed.
尤其在发射天线相关参数未知情况下，本文创新性地提出了一种利用长训练序列和短训练序列进行联合信道估计的算法。
Theoretically, a new closed-form parameter re-estimation formula is suggested for training LPHMM.
理论上，本文还给出了LPHMM的一组闭式参数重估公式。
Raw data preprocessing, the size of training data, as well as the size of input vectors have been studied separately, to find out the best parameter set of BP neural network prediction.
本文分别针对数据的预处理、训练数据集大小以及输入向量的大小分别进行了研究，以确定使用BP神经网络预测的一个最佳参数组合。
With a proper network training parameter, 100% correctness can be obtained by using Takagi-Sugeno fuzzy system.
选用适当的网络训练参数，正确率可达到100%。
The full preparation for physical examination, patient training, and proper selection of technique parameter are important factors to obtain qualified 3d reconstruction image.
在检查中充分准备和训练患者、选择合理的技术参数是获得高质量三维重建图像的重要因素。
Speech feature parameter extraction is an very important part of the speech recognition system, especially in speech training and recognition.
在说话人识别技术中，特征参数的提取对语音训练和识别有着非常重要的作用。
The research deals with the correlations between the parameter of repetitive degrees and each factor of different subjects, distances and seasons in repetitive training for sprinting.
通过实验研究、数理统计、比较分析等方法，对重复训练法在短距离跑训练中不同专项、距离、季节与重复次数指标相关性进行实验研究。
Taking 18 sets of parameter data of underground mine as training and testing samples, the ratio of mis-discrimination is 0.
对18组地下矿山的特征参数值作为学习样本进行训练和检验，回判估计的误判率为0。
There are a few training algorithms for parameter estimation of neural networks, in which Back Propagation(BP)algorithm is the typical algorithm for feed-forward multi-layer neural networks.
神经网络参数估计有许多训练算法，BP算法是前向多层神经网络的典型算法，但BP算法有时会陷入局部最小解。
This program can also be applied to extrapolate research of heat parameter of Rotary Kiln and training workers for center control.
该程序还能够应用于回转窑热工参数的反推研究或中控人员的培训过程中。
The learning parameter is set as 0.01 and the training iteration is taken as 500.
神经网络模型的学习参数为0.01，网络训练迭代次数为500。
Through calculating service temperature by flight parameter and based on the flight training program, infield and outfield test-fly program, and compares the result with actual-measurement.
包括用飞行训练大纲和内厂、外场试飞大纲作为飞行剖面编制的依据； 以飞参数据作为温度载荷的原始输入； 采用大气状态下的实测结果进行温度校正计算等。
According analyse the way of feature parameter extraction, we get the principle of feature parameter extraction, also study the theory of the model-training and model - matching.
分析了语音信号特征参数提取方法的优劣，并总结得出了参数提取的原则，并对模板训练匹配的问题进行了研究。
The PNN structure was optimized based on statistical results from the PCA for the training samples. A learning algorithm was introduced into the PNN to reduce uncertainties parameter.
以概率乘法公式为理论依据，根据训练样本的PCA结果对PNN进行结构优化，并引入学习算法减小PNN的参数不确定性。
Combining wavelet networks with a kind method of model structure design and parameter estimation of NARMAX model, a modified wavelet network training scheme is proposed.
将基于MGS算法的NARMAX模型结构与参数辨识的一体化算法和小波网络相结合，提出一种改进的小波网络学习算法。
Combining wavelet networks with a kind method of model structure design and parameter estimation of NARMAX model, a modified wavelet network training scheme is proposed.
将基于MGS算法的NARMAX模型结构与参数辨识的一体化算法和小波网络相结合，提出一种改进的小波网络学习算法。
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