ZhaohuiXue / EBSFS

A DEMO for "Enhanced Generalized Regression Neural Network With Backward Sequential Feature Selection for Machine-Learning-Driven Soil Moisture Estimation: A Case Study Over the Qinghai-Tibet Plateau" (Zhang et al., JSTARS, 2023)

Home Page:https://ieeexplore.ieee.org/document/10195153

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% Enhanced Generalized Regression Neural Network With Backward Sequential Feature Selection for Machine-Learning-Driven Soil Moisture Estimation: A Case Study Over the Qinghai-Tibet Plateau
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%    This demo shows the EBSFS model for SM estimation.
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%    main.m ....... A main script executing experiments upon matlab accidents data sets.
%    mycritfun.p ....... A script implementing the fit function in EBSFS.
%    myGRNN.p ....... A script implementing the EGRNN algorithm.
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%   Note: Required core libraries
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%   1. Matlab R2022a
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%   Cite:
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%   [1] Ling Zhang, Zhaohui Xue*, Huan Liu*, and Hao Li. Enhanced Generalized Regression Neural Network With Backward Sequential Feature Selection for Machine-Learning-Driven Soil Moisture Estimation: A Case Study Over the Qinghai-Tibet Plateau[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 7173-7185.
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%   Copyright & Disclaimer
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%   The programs contained in this package are granted free of charge for
%   research and education purposes only. 
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%   Copyright (c) 2021 by Ling Zhang, Zhaohui Xue, and Huan Liu 
%   zhangling_jmi@163.com; zhaohui.xue@hhu.edu.cn; liuhuanraul@126.com
%   --------------------------------------
%   For full package:
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%   https://sites.google.com/site/zhaohuixuers/

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A DEMO for "Enhanced Generalized Regression Neural Network With Backward Sequential Feature Selection for Machine-Learning-Driven Soil Moisture Estimation: A Case Study Over the Qinghai-Tibet Plateau" (Zhang et al., JSTARS, 2023)

https://ieeexplore.ieee.org/document/10195153


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Language:MATLAB 100.0%