@inproceedings{cec819dc3f0c431c9aec478b18970729,
title = "The research on application of sliding window LS-SVMin the batch process",
abstract = "This paper presents an improved regression algorithm of sliding window least squares support vector machine (the Sliding Window LS-SVM). This method simplifies the data within the sliding window, and selects the similar data for local modeling from a database of historical batches to predict the data within the sliding window. Combined with local modeling, the improved sliding window LS-SVM algorithm is very effective to predict the cell concentration in the penicillin fermentation process.",
author = "Xin Sun and \{Jin Gao\}, Xue and \{Yang Jia\}, Zhi",
year = "2013",
language = "English",
isbn = "9781479901777",
series = "Proceedings of the American Control Conference",
pages = "292--295",
booktitle = "2013 American Control Conference, ACC 2013",
note = "2013 1st American Control Conference, ACC 2013 ; Conference date: 17-06-2013 Through 19-06-2013",
}