5秒间隔的固体潮磁带记录的预处理

随着固体潮磁带记录的引用,在格式变换、取样、标定等方面产生了一些新问题,对1分钟间隔的固体潮磁带记录的取样和预处理已有讨论。由于固体潮观测装置又可以作为长周期的地震仪,5秒钟间隔的固体潮磁带记录,一方面有益于提高观测精度,另一方面又可用来研究地球的自由振荡,因此它是一种很有价值的记录方式。本文讨论这种记录的再取样及预处理的整个过程。     

THE EFFECT OF MISLABELED SAMPLES ON THE PERFORMANCE OF THE LINEAR LEARNING MACHINE

Over the past 15 years the linear learning machine has been applied to a large number of chemicalproblems.The learning machine approach is conceptually simple and does not require knowledge aboutthe statistical distribution of the data.However,there are problems associated with this approach.Oneproblem which has not been investigated is the influence of mislabeled samples on the positioning of thehyerplane in feature space.If a few samples in a data set are incorrectly tagged prior to training(i.e.thesamples are labeled as members of class 2 even though they are actually members of class 1),it is stilIpossible using the linear learning machine to achieve a classification success rate of 100% for the trainingset.However,unfavorable results will be obtained for the prediction set.The magnitude of this effect andits potential implications regarding the proper use of the linear learning machine are discussed.     

5秒间隔的固体潮磁带记录的预处理

随着固体潮磁带记录的引用,在格式变换、取样、标定等方面产生了一些新问题,对1分钟间隔的固体潮磁带记录的取样和预处理已有讨论。由于固体潮观测装置又可以作为长周期的地震仪,5秒钟间隔的固体潮磁带记录,一方面有益于提高观测精度,另一方面又可用来研究地球的自由振荡,因此它是一种很有价值的记录方式。本文讨论这种记录的再取样及预处理的整个过程。     

SPOT预处理级图像变换方法的研究

在分析ＳＰＯＴ预处理级图像（ＩＡ、ＩＢ、ＩＡＰ）特点的基础上，提出了在一定精度范围内，将ＩＢ级图像像坐标变换为ＩＡ级或ＩＡＰ级图像像坐标的两种变换方案。试验结果表明，两种变换方案皆具有较高的变换精度，但方案２的精度优于方案１的精度，且已用于生产作业。     

数字化雷达远程传输应用系统

本文介绍了已投入业务运行的南昌713—C雷达传输、处理、全省共享的应用系统的结构和功能，以及实现的技术方法和运行的软硬件环境。为解决雷达远距离传输及全省范围内的共享提供了一种有效的、实用的、科学的解决方案。