January 2011
Intermediate to advanced
420 pages
12h 32m
English
Content preview from Practical Applications of Data Mining
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248 Chapter 6 Neural Networks
Recall Process
Read in weight matrix 1. W.
Input a test vector 2. X.
Calculate the output vector 3. Y using the following formula:
netX
jiji
j
=×
∑
W
Y
j
= 1 if net
j
> 0
Y
j
= Y
j
if net
j
= 0
Y
j
= –1 if net
j
< 0
Calculate the vector 4. X at the input layer as follows:
netY
iijj
j
=×
∑
W
X
j
= 1 if net
j
> 0
X
j
= X
j
if net
j
= 0
X
j
= -1 if net
j
< 0
Repeat steps 3 and 4 until the network converges to learn a rule.5.
6.8.3 Example with Four Training Vectors
In this example, we are given a table with four training vectors in which 1 means
good and -1 means bad in the learning process as shown in Table 6.3. The first
six columns (except ...