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JST 1

The document appears to describe a machine learning process for training a neural network model. It includes examples of input data patterns with corresponding target outputs for training the model. The neural network weights and biases are initialized to 0 and updated based on the training examples to minimize error. The trained model is then used to predict outputs for new input patterns, with outputs above 5 mapped to 1 and below 5 mapped to -1.

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98 views2 pages

JST 1

The document appears to describe a machine learning process for training a neural network model. It includes examples of input data patterns with corresponding target outputs for training the model. The neural network weights and biases are initialized to 0 and updated based on the training examples to minimize error. The trained model is then used to predict outputs for new input patterns, with outputs above 5 mapped to 1 and below 5 mapped to -1.

Uploaded by

Supp Star
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as XLSX, PDF, TXT or read online on Scribd
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1 -1 1 1 1 1 1

1 -1 1 1 -1 1 1
1 1 1 -1 1 -1 1
-1 -1 1 1 -1 1 -1
-1 -1 1 1 1 1 1

Pelatihan MASUKAN
Pola X1 X2 X3 X4 X5 X6 X7 X8 X9
1 1 -1 1 1 -1 1 1 1 1
2 1 1 1 1 -1 1 -1 1 -1
3 1 1 1 1 -1 1 1 1 1

PERUBAHAN BOBOT DAN BIAS


X1 X2 X3 X4 X5 X6 X7 X8 X9
1 -1 1 -1 -1 1 -1 -1 -1 -1
2 1 1 1 1 -1 1 -1 1 -1
3 1 1 1 1 -1 1 1 1 1

BOBOT/BIAS AKHIR
X1 X2 X3 X4 X5 X6 X7 X8 X9
0 0 0 0 0 0 0 0 0
1 -1 1 -1 -1 1 -1 -1 -1 -1
2 0 2 0 0 0 0 -2 0 -2
3 1 3 1 1 -1 1 -1 1 -1

Pengujian
net 1 2 3 4 5 6 7 8 9
1 -1 -1 -1 -1 -1 -1 -1 -1 -1
2 0 2 0 0 0 0 2 0 2
3 1 3 1 1 1 1 -1 1 -1

Nilai < 5 = -1
Nilai > 5 = 1
1 1
-1 1
1 1
-1 1
1 1

X10 X11 X12 X13 X14 X15 B TARGET


1 -1 -1 -1 -1 1 0 -1
1 -1 1 1 1 1 0 1
1 -1 -1 1 1 1 0 1

AN BOBOT DAN BIAS


X10 X11 X12 X13 X14 X15 B
-1 1 1 1 1 -1 0
1 -1 1 1 1 1 0
1 -1 -1 1 1 1 0

X10 X11 X12 X13 X14 X15 B


0 0 0 0 0 0 0
-1 1 1 1 1 -1 0
0 0 2 2 2 0 0
1 -1 1 3 3 1 0

10 11 12 13 14 15 B net y
-1 -1 -1 -1 -1 -1 0 -15 -1
0 0 2 2 2 0 0 12 1
1 1 -1 3 3 1 0 15 1

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