code to tune input parameters with multiple data set to find ideal values in matlab

main.m
% Define input parameter ranges to search through
param1_min = 0.1;
param1_max = 10;
param2_min = 0.5;
param2_max = 5;
param3_min = 1;
param3_max = 20;
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main.m
% Load the multiple data sets to analyze
data_set_1 = load('data_set_1.mat');
data_set_2 = load('data_set_2.mat');
data_set_3 = load('data_set_3.mat');
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main.m
% Loop through each combination of parameter values to perform analysis on all data sets
results = zeros(length(param1_min:param1_max), length(param2_min:param2_max), length(param3_min:param3_max));
for i = param1_min:param1_max
  for j = param2_min:param2_max
    for k = param3_min:param3_max
      for data_set = {data_set_1, data_set_2, data_set_3}
        % Perform analysis on data set using current parameter values
        analysis_result = perform_analysis(data_set, i, j, k);
        
        % Track the result for this parameter value combination
        results(i,j,k) = results(i,j,k) + analysis_result;
      end
    end
  end
end
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main.m
% Analyze the results to determine the ideal parameter values
min_result = min(results(:));
[min_param1_index, min_param2_index, min_param3_index] = find(results == min_result);
min_param1 = param1_min + min_param1_index - 1;
min_param2 = param2_min + min_param2_index - 1;
min_param3 = param3_min + min_param3_index - 1;
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