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基于PE激勵的神經(jīng)網(wǎng)絡算法，保證了在自適應激勵條件下神經(jīng)網(wǎng)絡的持續(xù)激勵，能夠更好的學習

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代碼片段和文件信息 

function?y=dhatki（thatkiflaggammagneu0）
y=-sign（gn）*gamma*e*u0;

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件??????????72??2016-09-24?14:53??PE?BLF?MATLAB\dhatki.m
?????文件????????1368??2016-10-08?10:42??PE?BLF?MATLAB\fg_cal.m
?????文件????????1447??2016-10-08?11:30??PE?BLF?MATLAB\HFV_dynamics.m
?????文件???????19572??2016-10-20?11:34??PE?BLF?MATLAB\main_ie.m
?????文件??????????70??2016-10-08?10:59??PE?BLF?MATLAB\one_order_filter.m
?????文件????????5102??2016-10-19?19:36??PE?BLF?MATLAB\plotfile.m
?????文件??????????91??2016-10-08?10:53??PE?BLF?MATLAB\RBF.m
?????文件?????????192??2016-10-08?10:58??PE?BLF?MATLAB\ref_generate.m
?????文件?????????110??2016-08-07?20:35??PE?BLF?MATLAB\satu.m
?????文件?????????460??2016-09-19?23:38??PE?BLF?MATLAB\velo_cal.m

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