@inproceedings{6f77ab2369c14572bbc66f8dff0e2b9d,
title = "Curve Fitting Algorithm Based on MLP Neural Network with Spline Weight Function",
abstract = "Aiming at the problem of fast and accurate curve fitting required for aircraft direction trajectory data points, this paper uses the cubic spline function instead of the weights in the MLP neural network, and proposes a method for fitting aircraft trajectory data points using the spline weight function MLP neural network. The paper firstly introduces the MLP neural network as well as the spline weight function. Next, the cubic spline weight function equation is derived. Finally, the method of this paper is compared with the neural network method by performing curve fitting experiments on discrete data points of an airplane trajectory. The results show that the method in this paper reduces the error by 6.9\% compared with the neural network method, which is closer to the actual airplane flight trajectory.",
keywords = "Curve Fitting, MLP Neural Network, Spline Weight Function",
author = "Meng Li and Xiaoqiang Guo and Zeyang Zhang and Zhongcai Pei and Hongbing Shi and Yuan Peng",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 2nd International Conference on Internet of Things, Communication and Intelligent Technology, IoTCIT 2023 ; Conference date: 22-09-2023 Through 24-09-2023",
year = "2024",
doi = "10.1007/978-981-97-2757-5\_45",
language = "英语",
isbn = "9789819727568",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "426--433",
editor = "Jian Dong and Long Zhang and Deqiang Cheng",
booktitle = "Proceedings of the 2nd International Conference on Internet of Things, Communication and Intelligent Technology",
address = "德国",
}