@article{oai:nias.repo.nii.ac.jp:00000777,
 author = {金丸, 英幸},
 issue = {1},
 journal = {長崎総合科学大学紀要, Bulletin of the Nagasaki Institute of Applied Science},
 month = {Jul},
 note = {Recently, new technologies such as Industry4.0 and/or Internet of Thing (IoT) are being studied as part of rapid advances in information and communication technology (ICT), where the importance of real-time processing is anticipated to increase.
　The least-squares method (LSM) is one of the most popular ways to determine the characteristics of measured data. Iteration calculation is frequently used to obtain a high preciseness on the batch processing in LSM applied to non-linear curve fitting, but adaptive control equipment and other real-time computer systems need to reduce the steps of data processing for time-sharing.
　In this paper, a new linear LSM with space compensation ability is presented to balance high preciseness and reduction of the amount of data processing even for non-linear curve fitting, and it is evaluated in comparison with results from linear LSM without space compensation ability and non-linear LSM with iteration.},
 pages = {22--35},
 title = {空間補正機能を付与した線形最小二乗法による非線形カーブフィッティング},
 volume = {56},
 year = {2016},
 yomi = {カナマル, ヒデユキ}
}