how to give input automatically

i have found accuracy and error from nerual network,i have trained the data,i have to give input one by one for several combination as 1,2..1,3..1,4.....1,100..to find accuracy and error..i sholud not give input my myself,it should be done automatically.in train data i have values from of combination 1,2..2,3..1,4............1,100 i need all datas to be dispalyed with accuracy and error

Answer 1

[Vidhi Agarwal]

Hi Pat,

To automate the process of testing multiple input combinations and displaying the accuracy and error for each combination in MATLAB, these following steps might help:

1. Load the Trained Neural Network
2. Create a list of all the input combinations you wish to test.
3. Use a loop to feed each combination into the neural network and collect the results.
4. Display the accuracy and error for each combination.

Below is the sample of code that can help for better understanding:

% Load the trained neural network
% Assuming the trained network is saved as 'trainedNet.mat'
load('trainedNet.mat'); % Replace 'trainedNet.mat' with your actual file

% Define the input combinations
% Example: combination of inputs from 1 to 100
inputCombinations = nchoosek(1:100, 2); % Generate all 2-combinations of numbers 1 to 100

% Initialize arrays to store results
numCombinations = size(inputCombinations, 1);
accuracyResults = zeros(numCombinations, 1);
errorResults = zeros(numCombinations, 1);

% Loop through each combination
for i = 1:numCombinations
    input = inputCombinations(i, :);
    
    % Feed the input to the neural network
    output = predict(trainedNet, input);
    
    % Calculate accuracy and error
    % Assuming you have a function calculateAccuracyAndError to compute these
    [accuracy, error] = calculateAccuracyAndError(output, input);
    
    % Store the results
    accuracyResults(i) = accuracy;
    errorResults(i) = error;
    
    % Display the results
    fprintf('Combination: %d, %d - Accuracy: %.2f%%, Error: %.2f\n', ...
        input(1), input(2), accuracy * 100, error);
end

% Function to calculate accuracy and error
% Replace this with your actual accuracy and error calculation logic
function [accuracy, error] = calculateAccuracyAndError(output, input)
    % Placeholder logic for calculating accuracy and error
    % This should be replaced with your actual calculation logic
    % For example, comparing output with expected values
    expectedOutput = someExpectedOutputFunction(input); % Define this function as needed
    accuracy = sum(output == expectedOutput) / length(expectedOutput);
    error = sum((output - expectedOutput).^2) / length(expectedOutput);
end

Hope that helps!