@inproceedings{0a776e3c5517440b8ac39682add7b264,
title = "Picture reconstruction methods based on multilayer perceptrons",
abstract = "Multilayer Perceptrons (MLPs) with Back Propagation (BP) training algorithm have been successfully utilized for solving a wide variety of real world engineering problems, such as pattern classification, character recognition, function approximation, clustering and forecasting. In this paper, a MLP classifier is built by using BP algorithm for picture reconstruction. According to the engineering consideration of the effectiveness and efficiency, the optimal parameters of neural networks are carefully selected. Moreover, the contribution of data size for reconstruction accuracy and time consuming are checked. The number of epochs for training is also an important fact for time consuming which has strong relationship with the avoid overtraining algorithm.",
keywords = "Backpropagation, Effectiveness, Efficiency, Multilayer Perceptrons",
author = "Yiheng Hu and Zhihua Hu and Jin Chen",
note = "Funding Information: I should express my gratitude for funding support of Control Theory and Control Engineering Discipline XXXPY1609 and the funding number is A20NH1609B21-92. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; International Conference on Intelligent and Interactive Systems and Applications, IISA2016 ; Conference date: 25-06-2016 Through 26-06-2016",
year = "2016",
month = nov,
day = "30",
doi = "10.1007/978-3-319-49568-2\_48",
language = "English",
isbn = "9783319495675",
volume = "541",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer, Cham",
pages = "337--342",
editor = "Fatos Xhafa and Srikanta Patnaik and Zhengtao Yu",
booktitle = "Recent Developments in Intelligent Systems and Interactive Applications",
address = "Switzerland",
}