Netwọk Echo State na Mgbakọ Mgbakọ
Mgbakọ nchekwa mmiri bụ ụzọ mkpirisi amamihe maka ọzụzụ netwọkụ na-aga n'ihu: hapụ nnukwu 'ọkwa' nke neurons nke jikọtara ya na enweghị usoro ma zụọ naanị akwa mmepụta ahịrị dị mfe.
Nchịkọta
Echo State Networks are the best-known example, making sequence learning fast and cheap.
Ime miri emi
Netwọk Echo State (ESN), nke Herbert Jaeger webatara gburugburu 2001, yana igwe Liquid State Machines nke Wolfgang Maass nwere njikọ chiri anya na-etolite ezinụlọ akpọrọ reservoir computing. Echiche a: netwọọdụ netwọkụ na-emegharị ugboro ugboro, nke edobere, na-enweghị usoro na-arụ usoro ntinye n'ime ọnọdụ ike dị elu. N'ihi na ọ dịghị mgbe a zụrụ ihe ọ̀tụ̀tụ̀ ịdị arọ ndị a na-emegharị emegharị, ị na-ezere ịgbasa ngwa ngwa, na-akwụghịkwa ọtọ-site n'oge eji maka RNN na LSTM. Naanị nha agụpụta site na mmiri mmiri ruo na mmepụta ka a na-amụta, ọ na-abụkarị site na ngbanwe ahịrị dị mfe, nke na-adị ngwa ngwa na convex. Ebe nchekwa nchekwa ahụ ga-egbo 'echo state property': ebe nchekwa ya nke ntinye gara aga ji nwayọọ nwayọọ na-ada ada, na-ahụ na steeti dabere na akụkọ ihe mere eme na nso nso a karịa ọnọdụ mbụ. Ndị ESN na-eme nke ọma na amụma usoro oge yana n'ichepụta mgbaama ọgba aghara.
Nghọta nka nka
Nkwụsi ike na-adabere na radius spectral (nke kachasị eigenvalue zuru oke) nke matriks ịdị arọ na-adị ugboro ugboro nke mmiri mmiri, na-agbadakarị n'okpuru 1.0. Nke a na-edobe netwọk n'ọnụ 'ọgbaaghara': ọgaranya, ogologo ndụ ndụ ike na-enweghị nzaghachi ọsọ ọsọ. Ọzụzụ na-ebelata iji dozie nsogbu nke pere mpe-squares linear (mgbe ọ na-enwe nhazi ihu igwe) ebe nchekwa nchekwa eserese na-ekwu maka ebumnuche, yabụ enweghị mgbada gradient karịa ịdị arọ ugboro ugboro yana enweghị nsogbu na-apụ n'anya.
Mmetụta atụmatụ
Ọnụ ego na mmefu ego
Mkpebi ihe owuwu ụlọ na-akwalite arụmọrụ yana ọnụ ahịa ọrụ ruo ọtụtụ afọ.
Mkpebi doro anya
Nkà mmụta nka na-enyere ndị otu egwuregwu aka ịhọrọ nchịkọta ziri ezi, ọ bụghị naanị nke kachasị ọhụrụ.
Quality akara
Nhọrọ injinia ka mma na-ebelata ihe omume ntụkwasị obi na mmepụta.
Ọdịnihu nke netwọkụ steeti Echo na mgbakọ mmiri mmiri
Mgbakọ nchekwa nchekwa na-enweta traction na ngwaike anụ ahụ na nke neuromorphic, ebe nchekwa ahụ nwere ike ịbụ sistemu analọg, sekit photonic, array memristor, ma ọ bụ ọbụna ịwụ mmiri, na-erigbu ike sitere n'okike maka ngụkọ ike dị ala. Mmiri mmiri na-ekpo ọkụ na photonic na-ekwe nkwa ntinye ọnụ ngwa ngwa maka data sensọ. Ọ bụ ezie na mmụta miri emi na-achịkwa nnukwu ọrụ, ụzọ nchekwa mmiri na-adọrọ mmasị ebe data dị ụkọ, nkwụsịtụ na mmefu ego ike siri ike, ma ọ bụ ihe ngwaike na-enweghị atụ dị.
Mmejuputa n'ezie n'ụwa
Na-ebu amụma sistemu chaotic dị ike dị ka usoro Mackey-Glass ma ọ bụ Lorenz na-adọrọ adọrọ nwere oke ziri ezi.
Ịma amụma obere oge maka ibu ọkụ eletrik, akara ngwaahịa, ma ọ bụ usoro oge metụtara ihu igwe.
Nchọpụta okwu na fọnịm site na iji igwe State Liquid dị ka ebe nchekwa-neuron spiking-neuron.
Igwe nchekwa ngwaike dabere na fotonic ma ọ bụ memristor na-eme nhazi akara ngosi dị ala na nsọtụ ihe mmetụta.
Ihe ize ndụ & okporo ụzọ nche
Ịkwalite otu akara ngosi nwere ike zoo adịghị ike sistemụ sara mbara.
A na-eledakarị ihe akụrụngwa na ụgwọ ọrụ anya.
Ọdịiche nchekwa na nleba anya nwere ike itolite ka sistemu na-adịwanye mgbagwoju anya.
Map mmejuputa
Kọwaa latency, ịdịmma na ebumnuche ọnụ ahịa tupu mmejuputa ya.
Benchmark n'okpuru ibu dị adị na ọnọdụ data.
Nleba anya akụrụngwa maka mperi, ịkpafu na mmetụta onye ọrụ.
Kwadebe ụzọ nzaghachi azụghachi azụ na ihe omume tupu ịchachaa.
Nọgide na-eme nchọpụta
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the Echo State Networks and Reservoir Computing quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Ntuziaka na-esote
Netwọk okporo ụzọ wee gaa njikọ
Ajụjụ a na-ajụkarị
What is Echo State Networks and Reservoir Computing?
Mgbakọ nchekwa mmiri bụ ụzọ mkpirisi amamihe maka ọzụzụ netwọkụ na-aga n'ihu: hapụ nnukwu 'ọkwa' nke neurons nke jikọtara ya na enweghị usoro ma zụọ naanị akwa mmepụta ahịrị dị mfe. Netwọk Echo State bụ ihe atụ ama ama, na-eme usoro mmụta ngwa ngwa na ọnụ ala.
N'ime netwọk Echo State, kedụ arọ ka a zụrụ n'ezie?
Arọ dị n'ime mmiri na-emegharị ugboro ugboro na-adịgide na enweghị usoro; naanị linear readout si reservoir ka mmepụta ka a zụrụ azụ, na-emekarị site opekempe-squares regression.
Kedu ihe 'echo state property' nke ọdọ mmiri ga-eju afọ?
Ngwongwo steeti echo chọrọ ka ebe nchekwa nchekwa nke ihe ntinye mbụ na steeti mbụ ga-asachapụ ka oge na-aga, ya mere steeti ahụ na-egosipụta akụkọ ihe mere eme na nso nso a.
Kedu ihe kpatara ọzụzụ ESN ji dị ngwa ngwa karịa ịzụ ọkọlọtọ LSTM?
N'ihi na a na-edozi ihe arọ ugboro ugboro, ọzụzụ na-ebelata ka ọ bụrụ ọsọ ọsọ, convex linear regression kama iji nwayọọ nwayọọ na-agbasaghachi-site na oge.
Kedu ihe onwunwe nke matriks dị arọ nke ọdọ mmiri a na-ege ntị iji mee ka ọnọdụ ahụ kwụsie ike mana ọ bara ọgaranya?
Ịtọlite radius spectral (oke eigenvalue kasị ukwuu) ntakịrị n'okpuru 1 na-edobe ebe nchekwa ahụ n'akụkụ 'ọnụ nke ọgba aghara' na ebe nchekwa na-ada ada.
Igwe mmiri steeti Liquid, ụdị spiking-neuron nke mgbakọ mmiri mmiri, onye ka ewepụtara?
Wolfgang Maass webatara Liquid State Machines, ebe Herbert Jaeger webatara Echo State Networks; Ha abụọ daa n'okpuru mgbakọ mmiri mmiri.