ANN2.rar_islanda5n_matlab_predictions

close all clear all clear screen clc %%%this ANN architecture is based on minimum value of root mean square %%%error IN TESTING PEROID %%%%in data, all data is mean monthly with following composition, the data %%%%of indus river was from 01.01.2027-31.12.2066 %%Input data is of: %%Dasu Series Inflows Volume (1969-2008) on daily basis at Besham Qila (m3/day)=(1,:) %%Dasu Series outflow Volume on daily basis from Dasu Dam (m3/day)=(2,:); %%%%given by dam operation engineer %% Dasu Reservoir Capacity at time t(t) in (m3/day) =(3,:); obtained from area capacity elevation curve, reservoir operation level were given by dam operation engineer %% Dasu Reservoir Capacity at previous time t(t-1) in (m3/day)=(4,:); %%Target is of: %%Sediment Retained in the Reservoir (Dasu Reservoir) in (m3/day) =(5,:) %% %%Use HEC-RAS 1-D model to obtained sediment retained within the resevoir %%area %%%%%%Indus River Data %%Indus River data is with the name of 'Rdata %%%%%%%%%%%%%%%%%%%%%%%%%% load('Rdata'); input=Rdata(1:4,:); target=Rdata(5,:); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Prefix'F' means final of each %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% property %%%%To store thing which run during whole simulation process%%% %%FF means function final output FBest_Solution=[]; FBest_output=[]; FBest_Result_Ts_target=[]; FBest_Result_Ts_output=[]; FBest_Result_Tr_target=[]; FBest_Result_Tr_output=[]; FBest_Result_V_target=[]; FBest_Result_V_output=[]; %STORING OF COUNTER CHECK RESULTS %%%%STORE COUNTER SOLUTION RESULTS FBest_Solution_CC=[]; %overall FBest_output_CC=[]; %training FBest_Result_Tr_target_CC=[]; FBest_Result_Tr_output_CC=[]; %testing FBest_Result_Ts_target_CC=[]; FBest_Result_Ts_output_CC=[]; %validation FBest_Result_V_target_CC=[]; FBest_Result_V_output_CC=[]; % % %%%Description about coulumns of Cross validation solution % % %%%Corresponding to Min RMSE of Testing, BestLayers_Combination=(:,1:2); % % %%%%Corresponding to Min RMSE of Testing, training regression=(:,3) % % %%%Corresponding to Min RMSE of Testing, training RMSE=(:,4); % % %%%Corresponding to Min RMSE of Testing, training MAE=(:,5); % % % %%%Corresponding to Min RMSE of Testing, testing regression=(:,6) % % %%%Corresponding to Min RMSE of Testing, testing RMSE=(:,7); % % %%%Corresponding to Min RMSE of Testing, testing MAE=(:,8); % % % % %%%Corresponding to Min RMSE of Testing, validation regression=(:,9) % % %%%Corresponding to Min RMSE of Testing, validation RMSE=(:,10); % % %%%Corresponding to Min RMSE of Testing, validation MAE=(:,11); % % % % %%%Corresponding to Min RMSE of Testing, over all regression=(:,12); % % %%%Corresponding to Min RMSE of Testing, Over all RMSE=(:,13); % % %%%Corresponding to Min RMSE of Testing, Over all MAE=(:,14); %%% EXECUSION OF PROGRAMME WITH DIFFERENT TRANSFER FUNCTION IN % % % HIDDEN LAYER-1 HIDDEN LAYER-1 OUTPUTLAYER % % % % Logsig, Logsig, Pureline =(1,;) % % % Tansig, Tansig, Pureline =(2,;) % % % Radbas, Radbas, Pureline =(3,;) % % % Logsig, Tansig, Purelin =(4,;) % % % Logsig, Radbas, Purelin =(5,;) % % % Tansig, Radbas, Purelin =(6,;) % % % Radbas, Logsig, Purelin =(7,;) % % % Radbas, Tansig, Pureline =(8,;) % % % Logsig, Logsig, Logsig =(9,;) % % % Logsig, Tansig, Logisg =(10,;) % % % Logsig, Radbas, Logsig =(11,;) % % % Logsig, Radbas, Tansig =(12,;) % % % Logsig, Tansig, Radbas =(13,;) % % % Tansig, Tansig, Radbas =(14,;) % % % Tansig, Logsig, Radbas =(15,;) % % % Tansig, Tansig, Radbas =(16,;) % % % Tansig, Tansig, Tansig =(17,;) % % % Radbas, Radbas, Radbas =(18,;) % % % Radbas, Logsig, Radbas =(19,;) % % % Radbas, Logsig, Tansig =(20,;) %%%Loop to test and run the network with different transfer and training functions for TF=1:3 FBestLayers_Combination=[]; %%%Overall%%%% F_O_RMSE=[]; F_O_MAE=[]; FOverallRegression=[]; Foutput=[]; %%%%Testing%%%% F_Ts_RMSE=[]; F_Ts_MAE=[]; FTesting_Regression=[]; F_Ts_target=[]; F_Ts_output=[]; %%%Training%%%% F_Tr_RMSE=[]; F_Tr_MAE=[]; FTraining_Regression=[]; F_Tr_target=[]; F_Tr_output=[]; %%%%%Validation%%%% F_V_RMSE=[]; F_V_MAE=[]; FValidation_Regression=[]; F_V_target=[]; F_V_output=[]; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%ANNRT means ANN Running Time, i mean how much time i run it, 2 times or 3 %%time or more times %%%to accumulate each output for determination of rmse % % % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Prefix'F' means final of each % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% property % FBestLayers_Combination=[]; % FRegression=[]; % FTraining_Max_Regression=[]; % FTesting_Max_Regression=[]; % FValidation_Max_Regression=[]; % FRMSE=[]; % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % %%ANNRT means ANN Running Time, i mean how much time i run it, 2 times or 3 % %%time or more times % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Prefix'F' means final of each % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% property % %%%%To store thing which run during whole simulation process%%% % FBestLayers_Combination=[]; % % %%%Overall%%%% % F_O_RMSE=[]; % F_O_MAE=[]; % FOverallRegression=[]; % Foutput=[]; % % % %%%%Testing%%%% % F_Ts_RMSE=[]; % F_Ts_MAE=[]; % FTesting_Regression=[]; % % %%%Training%%%% % F_Tr_RMSE=[]; % F_Tr_MAE=[]; % FTraining_Regression=[]; % % %%%%%Validation%%%% % F_V_RMSE=[]; % F_V_MAE=[]; % FValidation_Regression=[]; % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % %