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  Classes of freedelta  >  Back Propagation Scale  >  results  >  Download  
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: 4 years ago
Size: 1,165 bytes
 

Contents

Class file image Download
// 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