Isku xirka Gobolka Echo iyo Xisaabinta Kaydka
Xisaabinta kaydka waa hab-yar oo xariif ah oo loogu talagalay tababbarka shabakadaha soo noqnoqda: ka tag kayd weyn oo si aan kala sooc lahayn ugu xidhan 'neurons' oo tababar lakabka wax soo saarka toosan ee fudud.
Dulmar
Echo State Networks are the best-known example, making sequence learning fast and cheap.
quusid qoto dheer
Echo State Networks (ESNs), oo uu soo bandhigay Herbert Jaeger qiyaastii 2001, iyo Mashiinnada Gobolka Liquid ee sida dhow ula xiriira Wolfgang Maass ayaa sameeyay qoyska loo yaqaan xisaabinta kaydka. Fikradda: Shabakad go'an, oo si aan kala sooc lahayn loo bilaabay mashruucyo isku xigxig gelinta ah oo galay xaalad firfircoon oo cabbir sare leh. Sababtoo ah miisaannada soo noqnoqda ayaan weligood tababaran, waxaad ka fogaataa aayar, dib u faafinta aan degganayn-ilaa-waqtiga loo isticmaalo RNN-yada iyo LSTM-yada. Kaliya miisaanka akhrinta laga bilaabo kaydka ilaa wax soo saarka ayaa la bartaa, sida caadiga ah dib u noqoshada toosan ee fudud, kaas oo ah mid degdeg ah oo isku dhafan. Kaydka kaydku waa inuu qanciyaa 'hantida gobolka echo': xasuusteeda agabkii hore si tartiib tartiib ah ayey u yaraysaa, iyadoo la hubinayo in gobolku ku xidhan yahay taariikhda dhow halkii ay ka ahaan lahayd xaaladaha bilowga ah. ESN-yadu waxay ku fiican yihiin saadaalinta taxanaha-waqtiga ah iyo qaabaynta calaamadaha fowdada ah.
Aragtida Farsamada
Xasiloonidu waxay ku xidhan tahay radius muuqaal ah (qiyaasta dhabta ah ee ugu weyn) ee kaydka miisaankiisa soo noqnoqda, oo inta badan laga qiyaaso wax ka hooseeya 1.0. Tani waxay ka dhigaysaa shabakada 'cirifka fowdada': hodan, firfircooni cimri dheer oo aan lahayn jawaab celin carar ah. Tababarku waxa uu yareeyaa xallinta mushkiladda toosan ee ugu yar-jibaarada (badanaa leh habaynta tiirarka) khariidaynta dawladaha kaydka ee bartilmaameedyada, markaa ma jirto hoos u dhac ku yimaadda miisaannada soo noqnoqda mana jirto dhibaato sii lumi karta.
Saamaynta Istiraatijiyadeed
Qiimaha iyo miisaaniyada
Go'aamada qaab-dhismeedku waxay horseedaan waxqabadka iyo kharashka hawlgalka sannadaha.
Go'aamo cad
Waxbarashada farsamada waxay ka caawisaa kooxaha inay doortaan xidhmo sax ah, ma aha oo kaliya kan ugu cusub.
Xakamaynta tayada
Doorashooyinka injineernimada ee wanaagsan waxay yareeyaan shilalka la isku halleyn karo ee wax soo saarka.
Mustaqbalka Shabakadda Gobolka Echo iyo Xisaabinta Kaydka
Xisaabinta kaydka ayaa ku soo jiidanaysa qalabka jireed iyo neuromorphic, halkaas oo kaydku noqon karo nidaam analoog ah, wareegga photonic, array memristor, ama xitaa baaldi biyo ah, ka faa'iidaysiga firfircoonida dabiiciga ah ee xisaabinta awoodda aadka u hooseeya. Kaydadka suunka iyo sawir-qaadista waxay ballan-qaadayaan in si degdeg ah loo ogaan karo xogta dareenka. Iyadoo waxbarashada qoto dheer ay ka taliso hawlo waaweyn, hababka kaydka ayaa ah mid soo jiidasho leh halka xogtu ay ku yar tahay, daahitaanka iyo miisaaniyada tamarta ay adag tahay, ama qalabyada qalabka aan caadiga ahayn la heli karo.
Dhaqangelinta Adduunka-dhabta ah
Saadaasha nidaamyada firfircoon ee fowdada ah sida taxanaha Mackey-Glass ama soo jiidashada Lorenz oo leh saxnaan sare.
Saadaasha muddada-gaaban ee culeyska korantada, calaamadaha saamiyada, ama taxanaha waqtiga cimilada la xiriira.
Aqoonsiga hadalka iyo telfoonka iyadoo la isticmaalayo Mashiinka Gobolka Liquid sida kaydka neerfaha.
Kaydadka hardware ee Photonic ama memristor-ku-saleysan oo fulinaya kala soocida calaamadaha awoodda hoose ee cidhifka dareemayaasha.
Khatarta & Dariiqyada Ilaalada
Hagaajinta hal bartilmaameed waxay qarin kartaa daciifnimada nidaamka ballaaran.
Kaabayaasha dhaqaalaha iyo dayactirka inta badan waa la dhayalsadaa.
Nabadgelyada iyo daldaloolada u fiirsashada ayaa kori kara marka nidaamyadu noqdaan kuwo aad u adag.
Qorshe Hawleedka Dhaqangelinta
Qeex daahida, tayada, iyo bartilmaameedyada qiimaha ka hor inta aan la hirgelin.
Benchmark marka la eego culeyska dhabta ah iyo xaaladaha xogta.
La socodka qalabka khaladaadka, leexashada, iyo saamaynta isticmaalaha.
U diyaari dib-u-noqoshada iyo dariiqyada jawaab-celinta dhacdada ka hor inta aanad miisaan.
Sii wad Sahaminta
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Hagaha xiga
Shabakadda Jidadka Wayn oo ka gudub Xidhiidhada
Su'aalaha soo noqnoqda
What is Echo State Networks and Reservoir Computing?
Xisaabinta kaydka waa hab-yar oo xariif ah oo loogu talagalay tababbarka shabakadaha soo noqnoqda: ka tag kayd weyn oo si aan kala sooc lahayn ugu xidhan 'neurons' oo tababar lakabka wax soo saarka toosan ee fudud. Shabakadaha Gobolka Echo waa tusaalaha ugu caansan, samaynta isku xigxiga barashada si dhakhso ah oo jaban.
Shabakadda Gobolka Echo, miisaankee baa dhab ahaan loo tababaray?
Miisaanka soo noqnoqda ee kaydka ayaa ah mid go'an oo aan kala sooc lahayn; Kaliya akhrinta tooska ah ee kaydka ilaa wax soo saarka ayaa la tababaray, inta badan dib u noqoshada afar-geesood.
Waa maxay 'hantida gobolka echo' ee ay tahay in kaydku ku qanco?
Hantida dawladeed ee echo waxay u baahan tahay in xusuusta kaydka ee agabyadii hore iyo dawladdii bilawga ahayd ay dhaqdo waqti ka dib, sidaas darteed gobolku wuxuu ka tarjumayaa taariikhda dhow.
Waa maxay sababta tababarka ESN uu aad uga dhaqso badan yahay tabobarka LSTM caadiga ah?
Sababtoo ah miisaannada soo noqnoqda waa kuwo go'an, tababarku wuxuu hoos u dhigayaa si degdeg ah, dib-u-celin toosan ah halkii uu ka ahaan lahaa mid gaabis ah, dib-u-celinta dib-u-celinta-ilaa-waqtiga.
Waa kuwee hantida matrixka miisaanka kaydka ee la habeeyey si dhaqdhaqaaqa firfircoonidu u xasilo balse qani ah?
Dejinta radius spectral (cabirka eigenvalue ugu weyn) in yar ka hooseeya 1 waxay ku haysaa kaydka meel u dhow 'cirka fowdada' iyada oo leh xusuus faa'iido leh.
Mashiinnada Dawladda ee dareeraha ah, nooca spiking-neuron ee xisaabinta kaydka, ayaa uu keenay?
Wolfgang Maass wuxuu soo bandhigay Mashiinnada Gobolka Liquid, halka Herbert Jaeger uu soo bandhigay Shabakadaha Gobolka Echo; Labaduba waxay ku hoos dhacaan xisaabinta kaydka.