[1] ﻃﺎﻟﺒﯽ ﺧﺎرزﻧﯽ، م. و ﺑﻨﯽ ﻋﺎﻣﺮﯾﺎن، م. (1402)ﭘﯿﺶﺑﯿﻨﯽ ﺑﺎزار ﻓﺎرﮐﺲ ﺑﺎ اﺳﺘﻔﺎده از ﺷﺒﮑﻪ ﻋﺼﺒﯽ ﺗﺮﮐﯿﺒﯽ و ﯾﺎدﮔﯿﺮی
اﻧﺘﻘﺎل. ﭘﻨﺠﻤﯿﻦ ﮐﻨﻔﺮاﻧﺲ ﻣﻠﯽ ﻣﺪﯾﺮﯾﺖ و ﺻﻨﻌﺖ ﮔﺮدﺷﮕﺮی، ﺗﻬﺮان. ﻗﺎﺑﻞ ﺑﺎزﯾﺎﺑﯽ از:
[2] ﻏﻔﺎری رزﯾﻦ، س.ر.، ﻫﻮﺷﻨﮕﯽ، ن. و وﺛﻮﻗﯽ، ب. (1402) ارزﯾﺎﺑﯽ ﮐﺎراﯾﯽ ﻣﺪل ﺷﺒﮑﻪ ﻋﺼﺒﯽ ﺣﺎﻓﻈﻪ ﮐﻮﺗﺎهﻣﺪت ﻃﻮﻻﻧﯽ در ﭘﯿﺶﺑﯿﻨﯽ ﺳﺮی زﻣﺎﻧﯽ ﯾﻮﻧﻮﺳﻔﺮ و ﻣﻘﺎﯾﺴﻪ آن ﺑﺎ ﻣﺪلﻫﺎی GRNN، GIM و .NeQuick ﻓﺼﻠﻨﺎﻣﻪ ﻋﻠﻤﯽ–
ﭘﮋوﻫﺸﯽ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﯿﺎﯾﯽ »ﺳﭙﻬﺮ«، ﺳﺎل ٢٣، ﺷﻤﺎره ۶٢١، ﺻﺺ ۵١١–٩٢١.
Doi: 10.22131/sepehr.2023.547749.2839
[3]ﻓﺮزاد، ع.، دﻫﻘﺎن ﻣﻨﺸﺎدی، ه. و دﺷﺘﯽ رﺣﻤﺖآﺑﺎدی، م. (1402) ﭘﯿﺶﺑﯿﻨﯽ ﻣﺴﺎﺋﻞ ﻣﺮﺑﻮط ﺑﻪ زﻣﺎنﺑﻨﺪی ﭘﺮوژهﻫﺎی
ﻋﻤﺮاﻧﯽ ﺑﺎ اﺳﺘﻔﺎده از ﺷﺒﮑﻪ ﻋﺼﺒﯽ LSTM )ﺣﺎﻓﻈﻪ ﻃﻮﻻﻧﯽ ﮐﻮﺗﺎهﻣﺪت.( ﻧﺸﺮﯾﻪ ﻣﻬﻨﺪﺳﯽ ﻋﻤﺮان اﻣﯿﺮﮐﺒﯿﺮ، ﺳﺎل ۵۵،
ﺷﻤﺎره ٩، ﺻﺺ ٣۵٧١–۴۶٧١.
Doi: 10.22060/ceej.2023.21383.7701
[4] ﯾﺮاﻗﯽ، م. و رﺑﯿﻌﯽ، ع. (1399) ﻣﺮور و ﻣﻘﺎﯾﺴﻪ اﻟﮕﻮرﯾﺘﻢﻫﺎی ﺷﺒﮑﻪ ﻋﺼﺒﯽ ﺑﺎزﮔﺸﺘﯽ ﻋﻤﯿﻖ LSTM و GRU در
ﻣﺪلﺳﺎزی دادهﻫﺎی ﺳﺮی زﻣﺎﻧﯽ ﻧﺮخ ارز. در: ﻋﻠﻮم راﯾﺎﻧﺸﯽ، ﺻﺺ ٠۴–٠۵.
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