1. For the given network architecture shown in Figure.1, a) Apply Backpropagation algorithm to classifying the corresponding pattern in Table 1. b) Determine the Error in the given network for both the input pattern. c) Update weights for the input pattern using bipolar sigmoidal activation function.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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1. For the given network architecture shown in Figure.1,
a) Apply Backpropagation algorithm to classifying the corresponding pattern in Table 1.

b) Determine the Error in the given network for both the input pattern.

c) Update weights for the input pattern using bipolar sigmoidal activation function.

Data/ Pattern
Defective work piece
Normal work piece
X1
X2
Note: Assume learning rate 0.11.
Table1. Input/output pattern
X1
0.66
0.11
0.34
0.33
Z
Figure 1
X2
0.52
0.23
0.73
Y
T
0.75
0.22
Transcribed Image Text:Data/ Pattern Defective work piece Normal work piece X1 X2 Note: Assume learning rate 0.11. Table1. Input/output pattern X1 0.66 0.11 0.34 0.33 Z Figure 1 X2 0.52 0.23 0.73 Y T 0.75 0.22
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