============================================================================= This file contains data to test the learning functions ============================================================================= Network-Files: font_untrained.net ============== Pattern-Files: font.pat ============== Description: - load network font_untrained.net ============ - load patterns font.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 font_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: 192.05171 1.28034 2.56069 45: 145.26021 0.96840 1.93680 40: 129.34404 0.86229 1.72459 35: 107.77004 0.71847 1.43693 30: 90.47894 0.60319 1.20639 25: 76.59864 0.51066 1.02132 20: 67.40642 0.44938 0.89875 15: 56.65160 0.37768 0.75535 10: 51.79101 0.34527 0.69055 5: 46.88659 0.31258 0.62515 1: 41.94405 0.27963 0.55925 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: 193.56581 1.29044 2.58088 45: 108.02216 0.72015 1.44030 40: 27.55836 0.18372 0.36744 35: 6.18125 0.04121 0.08242 30: 3.19529 0.02130 0.04260 25: 2.04648 0.01364 0.02729 20: 0.94066 0.00627 0.01254 15: 0.57076 0.00381 0.00761 10: 0.43675 0.00291 0.00582 5: 0.35213 0.00235 0.00470 1: 0.30297 0.00202 0.00404 Test set 3) =========== learning function : Quickprop 0.1 2.0 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: 4008.13794 26.72092 53.44184 45: 154.06007 1.02707 2.05413 40: 153.48735 1.02325 2.04650 35: 259.75369 1.73169 3.46338 30: 671.71240 4.47808 8.95617 25: 579.68127 3.86454 7.72908 20: 456.46268 3.04308 6.08617 15: 146.59467 0.97730 1.95460 10: 141.47960 0.94320 1.88639 5: 120.61822 0.80412 1.60824 1: 105.55431 0.70370 1.40739 Test set 4) =========== learning function : Rprop 0.6 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: 4008.13794 26.72092 53.44184 45: 2303.54565 15.35697 30.71394 40: 143.91373 0.95942 1.91885 35: 151.20253 1.00802 2.01603 30: 126.03333 0.84022 1.68044 25: 79.34955 0.52900 1.05799 20: 48.30243 0.32202 0.64403 15: 28.97503 0.19317 0.38633 10: 19.87347 0.13249 0.26498 5: 13.01181 0.08675 0.17349 1: 10.60551 0.07070 0.14141