| 1. | The idea of limiting training is a scary thought for some
限制训练的想法对一些人来说十种可怕的想法。 |
| 2. | Most of them have limited training and are often known to travel with a personal collection of no more than 7 sermons
其实，许多传道人受的教育不高，往往发生仅以七篇讲章就能走遍牧区的现象。 |
| 3. | The theories and methods for high dimensional multispectral data classification with limited training samples are studied , which are parts of important research contents of national 863 hi - tech , 973 project and ministry of education phd fund
结合国家863计划项目、国防973项目和教育部博士点基金项目，研究了有限样本下基于机器学习的高维多光谱数据分类问题。 |
| 4. | Last month , he authorized efforts to create what we call an african crisis response force acrf , which would provide limited training and equipment from donor nations to 5 , 000 - 10 , 000 troops from several african countries , enabling a quick and effective response to humanitarian crises and conflicts
只有在某一项欲采购的武器系统符合移转的标准，并有其他生产国也来竞争，美国政府及其大使馆人员才会加入促成这笔交易。 |
| 5. | In view of insufficient number of fault samples in process industry , support vector machines ( svm ) with the capacity of sufficient learning from a limited training set are used to identify the projection coefficient matrix of te process , and satisfying results are also obtained
而考虑到实际工业过程故障数据都是少量的，支撑向量机在小样本学习方面具有良好的泛化能力。利用支撑向量机对te过程的投影系数矩阵进行识别，也获得较满意的结果。 |
| 6. | In spite of limited training samples , the simulation results show that ann is a feasible and effective way to pattern recognition of manifestations of the pulse in chinese medicine . it is superior to traditional pattern recognition methods as far as self - adaptive ability is concerned
尽管文中的训练样本有限，但是仿真结果表明：利用神经网络对脉象信号进行识别是一种可行而有效的方法，在自适应、自学习能力方面较传统的模式识别方法具有明显的优越性。 |
| 7. | In spite of limited training samples , the method in this thesis is superior to traditional pattern recognition methods if choose suitable features to be input - cell such as features extracted by wavelet transform . the results also manifest that it is feasible to use neural network in pulse processing . a data acquisition system base on serial communication is designed according to the characteristics of manifestations of human pulse
尽管文中的训练样本有限，但仿真结果表明：对脉象信号的一些特定的特征值(如原始信号的小波变换在不同尺度上的能量) ，利用神经网络进行识别是一种可行而有效的方法，在自适应、自学习能力方面较传统的模式识别方法具有明显的优越性。 |
| 8. | In this thesis , several issues concerning the machine learning and the classification of high dimensional multispectral data with limited training samples are addressed , which are based on statistic learning theory ( slt ) , support vector machine ( svm ) and artificial neural networks ( ann ) . the mai n work and results are outlined as follows : 1 . the characteristics of high dimensional multispectral data are studied , and the difficulties that deteriorate the performance of the traditional pattern classification algorithms are carefully analyzed
以统计学习理论( statisticlearningtheory ? slt ) 、支持向量机( supportvectormachine ? svm )和人工神经网络( artificialneuralnetworks ? ann )为基础，本文开展了以下几个方面的研究工作：深入分析了高维多光谱数据的特点和传统模式分类方法在高维多光谱数据分类中面临的困难。 |
