关键词: 时序数据, 支持向量机, 数据窗口, 测井解释

Abstract: In order to classify the time-series objects，a binary-tree SVM with its advantages for multiclassification is presented.Since SVM does not make use of the time-series property of the classification and leads to the descent of recognition accuracy，by means of the data windows the label of an object，which is classified by SVM，is corrected by the distribution of the time-series objects in data window.Then the accuracy of time-series object recognition is greatly improved.This approach is applied in stratum recognition with well-logging data successfully.It is proved efficient that the recognition accuracy of stratum is improved greatly with the two steps of “recognition” and “correction”.

Key words: time-series data, support vector machine, data windows, well-logging interpretation