9044017101

iSNS - Interactive Neural Network Simulator - Tutorial OR

File Data Network Ąlgorithrn Yisualization Help

1?

Data
orlnput
orOutput
PerfectMernPicture
FastWinnerlnputData	1
OR te^tingData	^Mll
	1x1

Networks

QuickProp - learnSetlnit Y QuickProp - Free_Zone 1

Backpropagation net

neuron( 2, 0) potential

0.8873532078811567

bias

isns. backpropnet. MyBPLearning

alpha

rnyNetwork

Bp 21.3.2007 11:10:23 Bp 21.3.2007 11:10:39 *— Bp 21.3.2007 11:10:48 Bp 21.3.2007 11:10:54 K FastWinner H PerfectMemory

(El f&l W	lxl
Algorithms

& BPLearning H- QuickProp

Q learnSetlnit Q computeDeltas Q learnSetFinalize Q Free_Zone - £3 _new_2

Q computeDeltas Q Free_Zone

t

fen f&i r»ri fxi

Output

0 1 2 0.50464522... 1.78943357... -0.3291109...

0.31991480001171285

error (read-only)

'0.3635156174235546

error threshold

0.0010

output

0.7083436657478099

numSteps

1000

delta

-9.7007748403S5864E-4

transferFunction

( . ■)

transf erFunctionT ype

li

ogsig

W

rsnrxi

nn n i r?n i *011 *• 1

rnyNetwork

set x)

input[0]	input[l]	0 1	desired[0]	error[0]
0.0	0.0	3.7492568149695931	0.0	3.561385774778379
0.0	1.0	3.7762513853689688	1.0	3.050063442549305...
1.0	0.0	3.7474531847376726	1.0	0.06377989389914411
1.0	1.0	0.7723992011870777	1.0	0.051802123620280...'

macroStep

10

curStep (read-only)

|i _

stepMode

NORMAL

priority

NORM PRIORITY

(Firn

M

m

Compilation - QuickProp '

1 Learning start	[a
Epoch 1 error: 0.3635156174235546
Epoch 2 error: 0.36338512364618325	V