Dec 252017
| Computer Language Magazine December 1988. | |||
|---|---|---|---|
| File Name | File Size | Zip Size | Zip Type |
| —DEC88.— | 3 | 3 | stored |
| ABOUT.DEC | 1345 | 767 | deflated |
| C-EXAMP.BAS | 2180 | 913 | deflated |
| LIST1.TXT | 640 | 339 | deflated |
| LIST2.TXT | 256 | 165 | deflated |
| LIST3.TXT | 768 | 358 | deflated |
| LIST4.TXT | 384 | 232 | deflated |
| M-EXAMP.BAS | 2186 | 933 | deflated |
| STRSRCH.APL | 230 | 157 | deflated |
| STRSRCH.C | 2397 | 876 | deflated |
| STRSRCH.OBJ | 675 | 537 | deflated |
| STRTEST.C | 798 | 367 | deflated |
| STRTEST.EXE | 6400 | 3351 | deflated |
| STRTEST.OBJ | 557 | 465 | deflated |
| ZELLER | 16384 | 4921 | deflated |
Download File CL-DEC88.ZIP Here
Contents of the LIST1.TXT file
Pseudocode Listing 1
ADALINE TRAINING ALGORITHM:
Set learning constant, b (0 < b < 1, usually b 0.5 or so)
For each training pattern
apply input pattern to adaline inputs and note expected output
compute weighted sum of input vector components
if weighted sum > 0
output = +1
else
output = 1
compare output to expected output for this pattern
if actual output expected output
compute error in output (E = expected actual)
adjust weights using Delta Rule until output changes
end if
do next pattern
end if
Listing 1: The adaline training algorithm.
ADALINE TRAINING ALGORITHM:
Set learning constant, b (0 < b < 1, usually b 0.5 or so)
For each training pattern
apply input pattern to adaline inputs and note expected output
compute weighted sum of input vector components
if weighted sum > 0
output = +1
else
output = 1
compare output to expected output for this pattern
if actual output expected output
compute error in output (E = expected actual)
adjust weights using Delta Rule until output changes
end if
do next pattern
end if
Listing 1: The adaline training algorithm.
December 25, 2017
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