LitDev,
Great! It works. Yes, I would like to see what you used to figure this out I tried using dnspy, but I don't know what I am doing. I think it would be something valuable to learn if you are willing to teach.
Thanks for your help on this. I was getting no where.
JR
Z-S,
Thanks for your response. I was able to successfully run your program. I will be looking at it later. Looks like a good program to learn from.
LitDev was able to reproduce the problem that I was having. He updated the DLL (1.2.0.5). He, also fixed some other issues that he found while he was at it.
JR
LitDev,
With the new .dll (1,2,0,5) the output doesn't look right. Here is what I am getting. Looks like the output has changed to 100 or 0.
JR
Training started
epoch=100000
Trained=100000
BinaryOutput=True
Epoch=100000
LearningRate=0.7
Momentum=0.3
SigmoidResponse=1
ErrorRequired=0.0001
Mean(48,79) = 63.5 (100)
Mean(1,14) = 7.5 (0)
Mean(31,39) = 35 (0)
Mean(85,36) = 60.5 (100)
Mean(20,70) = 45 (0)
Mean(75,21) = 48 (0)
Mean(34,23) = 28.5 (0)
Mean(25,26) = 25.5 (0)
Mean(49,81) = 65 (100)
Mean(13,44) = 28.5 (0)
Press any key to continue...
Great! It works. Yes, I would like to see what you used to figure this out I tried using dnspy, but I don't know what I am doing. I think it would be something valuable to learn if you are willing to teach.
Thanks for your help on this. I was getting no where.
JR
Z-S,
Thanks for your response. I was able to successfully run your program. I will be looking at it later. Looks like a good program to learn from.
LitDev was able to reproduce the problem that I was having. He updated the DLL (1.2.0.5). He, also fixed some other issues that he found while he was at it.
JR
LitDev,
With the new .dll (1,2,0,5) the output doesn't look right. Here is what I am getting. Looks like the output has changed to 100 or 0.
JR
Training started
epoch=100000
Trained=100000
BinaryOutput=True
Epoch=100000
LearningRate=0.7
Momentum=0.3
SigmoidResponse=1
ErrorRequired=0.0001
Mean(48,79) = 63.5 (100)
Mean(1,14) = 7.5 (0)
Mean(31,39) = 35 (0)
Mean(85,36) = 60.5 (100)
Mean(20,70) = 45 (0)
Mean(75,21) = 48 (0)
Mean(34,23) = 28.5 (0)
Mean(25,26) = 25.5 (0)
Mean(49,81) = 65 (100)
Mean(13,44) = 28.5 (0)
Press any key to continue...