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[인공지능] BackPropagation implementation

등록일 2004.06.04 한글파일한글 (hwp) | 15페이지 | 가격 1,200원

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BackPropagation 알고리즘을 구현(실행소스및 결과)

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본문내용

Program: BackPropagation implementation
File Name: BPimpl.cpp
Compiler: Visual C++ 5

*training process*

INIT Small Random Weights
LOOP {
GET Next Training Vector
Forward Pass(Run network to obtain output layer val.)
Backward Pass(Adapt weight using BP difference eq)
if <end of Epoch> and <Error within Tolerance>
then Save Trained Weight and end.
if <Exceed Max Iter.> and <Error out of Tolerance>
then Declare Failure and end.
if not goto LOOP
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