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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