Adaptive neuro fuzzy inference system for Predicting sub-daily Zenith Wet Delay

Published: 21 May 2021| Version 1 | DOI: 10.17632/mcwnx2fypx.1
Contributor:
Jareer Mohammed

Description

These are the full results from "ANFIS for Predicting sub-daily Zenith Wet Delay" for the selected 505 stations. They are divided into: 1- Raw time series of the 505 stations for (ZWD) from 2009 till 2019 in mat format. 2- plot of time series of the 505 stations for (ZWD) from 2009 till 2019 in png format. 3- Predicted and actual_ZWD for 505 stations for the testing data from 2017 till 2019 in png format. 4- Differences between Predicted and actual_ZWD for 505 stations for the testing data from 2017 till 2019 in png format. 5- R values for all 505 stations in png format. 6- Summary for "MSE_Train_Data RMSE_Train_Data ErrorMean_Train_Data ErrorStd_Train_Data MSE_Test_Data RMSE_Test_Data ErrorMean_Test_Data ErrorStd_Test_Data MSE_all_Data RMSE_all_Data ErrorMean_all_Data ErrorStd_all_Data R_train_1 R_train_2 R_train_3 R_train_4 P_train_1 P_train_2 P_train_3 P_train_4 RL_train_1 RL_train_2 RL_train_3 RL_train_4 RU_train_1 RU_train_2 RU_train_3 RU_train_4 R_test_1 R_test_2 R_test_3 R_test_4 P_test_1 P_test_2 P_test_3 P_test_4 RL_test_1 RL_test_2 RL_test_3 RL_test_4 RU_test_1 RU_test_2 RU_test_3 RU_test_4 R_all_1 R_all_2 R_all_3 R_all_4 P_all_1 P_all_2 P_all_3 P_all_4 RL_all_1 RL_all_2 RL_all_3 RL_all_4 RU_all_1 RU_all_2 RU_all_3 RU_all_4" for 505 stations in Excel format.

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Categories

Tropospheric Propagation Delays, Fuzzy-Neural System

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