============================================================================= This file contains data to test the learning functions ============================================================================= Network-Files: encoder_untrained.net ============== Pattern-Files: encoder.pat ============== Description: - load network encoder_untrained.net ============ - load patterns encoder.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 encoder_untrained.net Test set 1) =========== learning function : Backpropagation 2.0 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: 15.01238 1.87655 1.87655 45: 7.11733 0.88967 0.88967 40: 6.97848 0.87231 0.87231 35: 6.82921 0.85365 0.85365 30: 6.60435 0.82554 0.82554 25: 6.25984 0.78248 0.78248 20: 5.80904 0.72613 0.72613 15: 5.29508 0.66189 0.66189 10: 4.82750 0.60344 0.60344 5: 4.47458 0.55932 0.55932 1: 4.26193 0.53274 0.53274 Test set 2) =========== learning function : Backprop 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: 15.04783 1.88098 1.88098 45: 7.00902 0.87613 0.87613 40: 6.64665 0.83083 0.83083 35: 5.84186 0.73023 0.73023 30: 4.85185 0.60648 0.60648 25: 4.35962 0.54495 0.54495 20: 4.06261 0.50783 0.50783 15: 3.77601 0.47200 0.47200 10: 3.49569 0.43696 0.43696 5: 3.26683 0.40835 0.40835 1: 3.11198 0.38900 0.38900 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: 23.43225 2.92903 2.92903 45: 6.84621 0.85578 0.85578 40: 5.19811 0.64976 0.64976 35: 2.95950 0.36994 0.36994 30: 2.30973 0.28872 0.28872 25: 1.70339 0.21292 0.21292 20: 1.96639 0.24580 0.24580 15: 1.34750 0.16844 0.16844 10: 0.25786 0.03223 0.03223 5: 0.13768 0.01721 0.01721 1: 0.10174 0.01272 0.01272 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: 23.43225 2.92903 2.92903 45: 6.83243 0.85405 0.85405 40: 5.00780 0.62597 0.62597 35: 2.55660 0.31958 0.31958 30: 1.19405 0.14926 0.14926 25: 0.60546 0.07568 0.07568 20: 0.63067 0.07883 0.07883 15: 0.09255 0.01157 0.01157 10: 0.03560 0.00445 0.00445 5: 0.01027 0.00128 0.00128 1: 0.00293 0.00037 0.00037