The purpose of this study was to explore the effect of the different training samples , learning rate and numbers of hidden layers on the classified accuracy when using learning vector quantization to analysis 摘要本研究采电脑模拟探讨不同训练范例样本数、学习速率及隐藏层个数对学习向量量化网路分类正确率之影响。
The purpose of this study was to explore the effect of the different training samples , learning rate and numbers of hidden layers on the classified accuracy when using learning vector quantization to analysis 摘要本研究采计算机仿真探讨不同训练示范样本数、学习速率及隐藏层个数对学习矢量量化网络分类正确率之影响。
It is shown that this approach is feasible and can be applied in actual bridge engineering . some experiments are done in the wind tunnel to acquire enough samples including static coefficients and aerodynamic derivatives 为了获得足够的样本数，在西南交通大学风工程试验中心进行了9个模型试验，得到了模型的静力三分力系数和一个气动导数值。
However , when the system sample number and the number of antenna array elements are finite , or snr is low and the incident signals are correlated or coherent , the performance of the algorithm sharply decreases and the algorithm even becomes invalid 但是当系统样本数、天线阵元数有限,信噪比较低以及入射信号为相关或相干信号时,算法性能急剧下降甚至失效。
Effect estimates for cancers of the pancreas , blood and lymph system , and kidneys were based on small numbers rendering our analyses uninformative , and patterns considering exposure levels and lags were inconsistent 在对于胰脏、血液和淋巴系统以及肾脏癌症的影响评估方面，由于样本数太小，以致于资料分析无法提供有用的资讯，而且考虑暴露程度及延迟效应的模式会产生不一致的结果。
As for professional exposure , usually chronic accumulation of small dose of radiation , there is few data by large case number and strict study model ; therefore , no agreement at this point is got and it sill waits for further reserch 至于一般之职业性曝露系以低剂量之慢性累积剂量为主，由于缺乏较大规模之样本数和较严谨之研究模式，因此至目前仍无较一致的结论，尚待进一步的研究。
These results have , however , been viewed as either not highly generalizable because enrollment was confined to patients with underlying heart disease , or as nondefinitive because sample sizes were small or intermediate end points were used 然而这些研究要么被认为不具普遍性（因为入选标准限定在伴有基础心脏疾病的患者） ，要么被认为不具权威性（因为样本数小或使用了中间性终点） 。
Of the 261 " employers " surveyed , the sample size of baptist university was 3 and 2 for lingnan , cityu and hkied , respectively . how could these small sample sizes be representative of the employers for assessing graduates from individual institutions 根据调查结果，在261个受调查的雇主当中，浸大的雇主样本数为3岭大城大与教院的样本数分别为2个，这三两样本数怎能代表各院校毕业生的雇主？
In this paper , we also put forward a incremental learning algorithm for such a model . when the number of new samples attains or exceeds the valve , we use these samples to make a model , and merge this model with current model , thus get a new current model 针对这个问题,论文提出了一种增量学习方法:当新样本集的样本数达到或超过阀值时,用新样本集建立一个模型,与当前的模型合并,得到最新模型。
