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File: results
Role: Sample output
Content type: text/plain
Description: Output data backpropagation
Class: Back Propagation Scale
Implement neural networks using back propagation
Author: By
Last change: Results with the new corrected scaling and random functions
Date: 12 years ago
Size: 1,165 bytes
 

Contents

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// Output of the program when executed: Now training the network.... First epoch Mean Square Error: 0.027328626283308 Network Trained. Threshold value achieved in 3426 iterations. MSE: 9.7371257925788E-6 Last epoch Mean Square Error: 9.7371257925788E-6 Now using the trained network to make predictions on test data.... Input1 Input2 Predicted 1 1 1 1 2 1.9937521993659 1 3 2.9875043987317 1 4 3.9812565980976 1 5 4.9750087974635 2 1 1.9825576402442 2 2 3.8635959723149 2 3 5.803880630536 2 4 7.7405810466384 2 5 9.6764256163069 3 1 2.9651152804883 3 2 5.7867779223918 3 3 8.5907879169447 3 4 11.465931996072 3 5 14.338605584386 4 1 3.9476729207325 4 2 7.7078995511122 4 3 11.447504195087 4 4 15.181575833889 4 5 18.989609692449 5 1 4.9302305609766 5 2 9.6285173641923 5 3 14.302826145173 5 4 18.970702618043 5 5 23.635959723149