============================================================================= This file contains data to test the learning functions ============================================================================= Network-Files: patmat_untrained.net ============== Pattern-Files: patmat.pat ============== Description: - load network patmat_untrained.net ============ - load patterns patmat.pat - do NOT press init button - set cycles to 50 - set shuffle off - for each test set: - set learing function given in test set. - set learning parameters given in test set. - set update function given in test set. - set update parameters given in test set. - press the all button - compare the results with the given results - reload network patmat_untrained.net Test set 1) =========== learning function : Std_Backpropagation 0.2 0.0 0.0 0.0 0.0 update function : Topological_Order 0.0 0.0 0.0 0.0 0.0 epoch: SSE MSE SSE/o-units 50: 57.43739 9.57290 1.64107 45: 28.33091 4.72182 0.80945 40: 23.36288 3.89381 0.66751 35: 20.37907 3.39651 0.58226 30: 17.96514 2.99419 0.51329 25: 15.86678 2.64446 0.45334 20: 14.01956 2.33659 0.40056 15: 12.44866 2.07478 0.35568 10: 11.16080 1.86013 0.31888 5: 10.10911 1.68485 0.28883 1: 9.40102 1.56684 0.26860 Test set 2) =========== learning function : Backpropagation with Momentum 0.8 0.6 0.1 0.0 0.0 update function : Topological_Order 0.0 0.0 0.0 0.0 0.0 epoch: SSE MSE SSE/o-units 50: 47.82394 7.97066 1.36640 45: 11.88784 1.98131 0.33965 40: 3.60736 0.60123 0.10307 35: 1.60474 0.26746 0.04585 30: 0.78967 0.13161 0.02256 25: 0.54716 0.09119 0.01563 20: 0.39293 0.06549 0.01123 15: 0.28987 0.04831 0.00828 10: 0.23189 0.03865 0.00663 5: 0.19119 0.03186 0.00546 1: 0.16657 0.02776 0.00476 Test set 3) =========== learning function : Quickprop 0.2 1.75 0.0001 0.0 0.0 update function : Topological_Order 0.0 0.0 0.0 0.0 0.0 epoch: SSE MSE SSE/o-units 50: 62.20805 10.36801 1.77737 45: 13.83142 2.30524 0.39518 40: 3.36853 0.56142 0.09624 35: 1.29989 0.21665 0.03714 30: 4.97972 0.82995 0.14228 25: 0.23330 0.03888 0.00667 20: 0.07586 0.01264 0.00217 15: 0.01147 0.00191 0.00033 10: 0.00332 0.00055 0.00009 5: 0.00180 0.00030 0.00005 1: 0.00165 0.00028 0.00005 Test set 4) =========== learning function : Rprop 0.2 0.0 0.0 0.0 0.0 update function : Topological_Order 0.0 0.0 0.0 0.0 0.0 epoch: SSE MSE SSE/o-units 50: 57.43744 9.57291 1.64107 45: 28.33092 4.72182 0.80945 40: 23.36290 3.89382 0.66751 35: 20.37909 3.39651 0.58226 30: 17.96515 2.99419 0.51329 25: 15.86679 2.64447 0.45334 20: 14.01958 2.33660 0.40056 15: 12.44868 2.07478 0.35568 10: 11.16081 1.86014 0.31888 5: 10.10913 1.68485 0.28883 1: 9.40103 1.56684 0.26860