@inproceedings{823f6286bda048c587d3ee873c40311d,
title = "Soil property prediction: An extreme learning machine approach",
abstract = "In this paper, we propose a method for predicting functional properties of soil samples from a number of measurable spatial and spectral features of those samples. Our method is based on Savitzky-Golay filter for preprocessing and a relatively recent evolution of single hidden layer feed-forward network (SLFN) learning technique called extreme learning machine (ELM) for prediction. We tested our method with Africa Soil Property Prediction dataset, and observed that the results were promising.",
keywords = "Extreme learning machine (ELM), Kernel-based ELM, Neural network, Prediction, Soil property",
author = "Dina Masri and Woon, \{Wei Lee\} and Zeyar Aung",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 22nd International Conference on Neural Information Processing, ICONIP 2015 ; Conference date: 09-11-2015 Through 12-11-2015",
year = "2015",
doi = "10.1007/978-3-319-26535-3\_3",
language = "British English",
isbn = "9783319265346",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "18--27",
editor = "Lai, \{Weng Kin\} and Qingshan Liu and Tingwen Huang and Sabri Arik",
booktitle = "Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings",
address = "Germany",
}