⭐ 欢迎来到虫虫下载站! | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站

📄 letseq.chk

📁 著名的神经网络工具箱
💻 CHK
字号:
=============================================================================
	This file contains data to test the learning functions
=============================================================================

Network-Files:	letseq_untrained.net
==============	

Pattern-Files:	letseq_train.pat
==============	

Description:	- load network letseq_untrained.net	
============	- load patterns letseq_train.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 letseq_untrained.net	

Test set 1)
===========

learning function  : JE_BP		  0.2   0.0   0.0   0.0   0.0
update function    : JE_Order		  0.0   0.0   0.0   0.0   0.0

  epoch:         SSE            MSE            SSE/o-units

     50:    2443.41919        0.81829         407.23654
     45:    1967.71216        0.65898         327.95203
     40:    1945.15869        0.65143         324.19312
     35:    1932.37512        0.64715         322.06253
     30:    1927.02405        0.64535         321.17068
     25:    1924.20728        0.64441         320.70120
     20:    1922.32935        0.64378         320.38821
     15:    1920.95422        0.64332         320.15903
     10:    1919.92957        0.64298         319.98825
      5:    1919.18176        0.64273         319.86362
      1:    1918.72192        0.64257         319.78699


Test set 2)
===========

learning function  : JE_BP_Momentum	  0.2   0.5   0.0   0.0   0.0
update function    : JE_Order		  0.0   0.0   0.0   0.0   0.0

  epoch:         SSE            MSE            SSE/o-units

     50:    2299.23633        0.77001         383.20605
     45:    1940.69067        0.64993         323.44846
     40:    1928.97119        0.64601         321.49521
     35:    1924.74207        0.64459         320.79034
     30:    1922.88293        0.64397         320.48050
     25:    1921.99377        0.64367         320.33231
     20:    1921.47021        0.64349         320.24503
     15:    1921.12415        0.64338         320.18735
     10:    1920.87244        0.64329         320.14542
      5:    1920.67578        0.64323         320.11264
      1:    1920.54810        0.64318         320.09134


Test set 3)
===========

learning function  : JE_Quickprop	  0.3   2.0   0.0001 0.0   0.0
update function    : JE_Order		  0.0   0.0   0.0    0.0   0.0

  epoch:         SSE            MSE            SSE/o-units

     50:    5434.64062        1.82004         905.77344
     45:    7522.88721        2.51939        1253.81458
     40:    6292.01709        2.10717        1048.66956
     35:    5435.19775        1.82023         905.86627
     30:    6004.00586        2.01072        1000.66766
     25:    7073.52441        2.36890        1178.92078
     20:    5555.14258        1.86040         925.85712
     15:    7609.96484        2.54855        1268.32751
     10:    5322.99658        1.78265         887.16608
      5:    6655.99365        2.22907        1109.33228
      1:    5883.22119        1.97027         980.53687


Test set 4)
===========

learning function  : JE_Rprop		  0.1  50.0   0.0    0.0   0.0
update function    : JE_Order		  0.0   0.0   0.0    0.0   0.0

  epoch:         SSE            MSE            SSE/o-units

     50:    5434.64062        1.82004         905.77344
     45:    3022.28174        1.01215         503.71362
     40:    2336.67163        0.78254         389.44528
     35:    2055.28149        0.68831         342.54691
     30:    1929.24146        0.64610         321.54025
     25:    1903.56677        0.63750         317.26114
     20:    1892.60681        0.63383         315.43448
     15:    1890.64722        0.63317         315.10788
     10:    1890.46191        0.63311         315.07700
      5:    1890.36511        0.63308         315.06085
      1:    1890.33557        0.63307         315.05594


Test set 5)
===========

learning function  : JE_BP		  0.2   0.0   0.0   0.0   0.0
update function    : JE_Special		  0.0   0.0   0.0   0.0   0.0

  epoch:         SSE            MSE            SSE/o-units

     50:    2443.41943        0.81829         407.23657
     45:    1967.71216        0.65898         327.95203
     40:    1945.15820        0.65143         324.19302
     35:    1932.37439        0.64714         322.06241
     30:    1927.02344        0.64535         321.17056
     25:    1924.20728        0.64441         320.70120
     20:    1922.32910        0.64378         320.38818
     15:    1920.95435        0.64332         320.15906
     10:    1919.92944        0.64298         319.98825
      5:    1919.18188        0.64273         319.86365
      1:    1918.72217        0.64257         319.78702


Test set 6)
===========

learning function  : JE_BP_Momentum	  0.2   0.5   0.0   0.0   0.0
update function    : JE_Special		  0.0   0.0   0.0   0.0   0.0

  epoch:         SSE            MSE            SSE/o-units


     50:    2299.23633        0.77001         383.20605
     45:    1940.69067        0.64993         323.44846
     40:    1928.97119        0.64601         321.49521
     35:    1924.74207        0.64459         320.79034
     30:    1922.88293        0.64397         320.48050
     25:    1921.99377        0.64367         320.33231
     20:    1921.47021        0.64349         320.24503
     15:    1921.12415        0.64338         320.18735
     10:    1920.87244        0.64329         320.14542
      5:    1920.67578        0.64323         320.11264
      1:    1920.54810        0.64318         320.09134


Test set 7)
===========

learning function  : JE_Quickprop	  0.3   2.0   0.0001 0.0   0.0
update function    : JE_Special		  0.0   0.0   0.0    0.0   0.0

  epoch:         SSE            MSE            SSE/o-units

     50:    5434.64062        1.82004         905.77344
     45:    7522.88721        2.51939        1253.81458
     40:    6292.01709        2.10717        1048.66956
     35:    5435.19775        1.82023         905.86627
     30:    6004.00586        2.01072        1000.66766
     25:    7073.52441        2.36890        1178.92078
     20:    5555.14258        1.86040         925.85712
     15:    7609.96484        2.54855        1268.32751
     10:    5322.99658        1.78265         887.16608
      5:    6655.99365        2.22907        1109.33228
      1:    5883.22119        1.97027         980.53687


Test set 8)
===========

learning function  : JE_Rprop		  0.1  50.0   0.0    0.0   0.0
update function    : JE_Special		  0.0   0.0   0.0    0.0   0.0

  epoch:         SSE            MSE            SSE/o-units

     50:    5434.64062        1.82004         905.77344
     45:    2778.15088        0.93039         463.02515
     40:    2425.45947        0.81228         404.24326
     35:    2154.22510        0.72144         359.03751
     30:    1978.34998        0.66254         329.72501
     25:    1915.36108        0.64145         319.22684
     20:    1899.89709        0.63627         316.64951
     15:    1893.70703        0.63420         315.61783
     10:    1891.51941        0.63346         315.25323
      5:    1890.86426        0.63324         315.14404
      1:    1890.64331        0.63317         315.10721

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -