Artificial Neural Network

Iqukethe izikhangiso
10K+
Okudawunilodiwe
Isilinganiselwa sokuqukethwe
Wonke umuntu
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini

Mayelana nalolu hlelo lokusebenza

Lolu hlelo lokusebenza olusebenzayo lwe-Neural Network luzochaza okuyisisekelo ezihlokweni eziphakathi

►Isihloko samanethiwekhi omzimba we-neural asekhulile ngokwezinga elikhulu eminyakeni embalwa edlule. Futhi ikakhulukazi ngokufika komshini ophezulu kakhulu wokusebenza, lesi sihloko sithinte ukubaluleka okukhulu futhi sinezinhlelo zokusebenza ezinkulu kakhulu eminyakeni yamuva kakhulu .►

►Kuhlelo lokusebenza lwe-Artificial Neural Network, sizobe sichaza ukuthi inethiwekhi ye-neural isho ukuthini ngempela. Futhi njengoba igama lisho, empeleni i-network ye-neural amanethiwekhi ithola ukuthi isuka ebuchosheni bomuntu, noma isimiso somuntu sesisindo, esine-interconnection enkulu kakhulu efana ne-neurons enkulu. Futhi lokho kufeza imisebenzi ehlukene, imisebenzi ehlukene yokuqonda, imisebenzi yokuqaphela njll, ngesikhathi esincane esimangalisayo. Ngisho njengoba kuqhathaniswa nama-computer aphezulu kakhulu asebenzayo. lapho ikhompyutha ingenziwa ukulinganisa inani elikhulu lokuxhumana nokuxhumana. Lokho kukhona phakathi kwezingqamuzana zomzimba wonke, ingabe ingasetshenziswa ukwenza imisebenzi eminingana yokucubungula lapho amakhompiyutha aphezulu anamuhla angakwazi futhi ukukwenza, le ndaba yilapho esizoyiqondisa.►

✴Kuchwepheshe wezokwaziswa, inethiwekhi ye-neural iyisistimu ye-hardware kanye / noma isofthiwe elandelwa ngemuva kokusebenza kwe-neurons ebuchosheni bomuntu. Amanethiwekhi e-Neural - aphinde abizwe ngokuthi amanethiwekhi we-neural engavamile - ahlukahlukene obuchwepheshe bokufunda obujulile. ☆

►Amanethiwekhi angama-neural artificial awabikezela izindlela ezisekelwe ezinhlobonhlobo ezilula zesibalo sobuchopho. Bavumela ubudlelwane obuyinkimbinkimbi obungezansi phakathi kwehlukahlukana zokuphendula kanye nezibikezelo zayo. ☆

► Ama-neural networks (ANNs) amamodeli wokubala aphefumulelwe ngokuqondile, futhi ahlelwe kancane kumanethiwekhi omzimba we-neural. Bayakwazi ukufanekisa nokucubungula ubudlelwane obungenalutho phakathi kwamaphesenti kanye nemiphumela ehambisanayo. ☆


Network Inethiwekhi ye-neural deep (DNN) i-ANN enezingqimba eziningi ezifihliwe phakathi kwezendlalelo zokufaka nezokukhipha. Njengoba kufana ne-ANN engajulile, ama-DNN angakwazi ukulinganisa ubudlelwano obunzima obungavamile. ❱

【Zingaki izihloko ezibalulekile ezibhalwe lapha)

⇢ Imiqondo eyisisekelo
Izakhiwo Zokwakha ⇢
⇢ Ukufunda nokuguquguquka
⇢ Ukuhlolwa okuPhezulu
⇢ Ukufunda Okungaqondakali
I-⇢ Ukufunda i-Vector Quantization
I-⇢ I-Adaptive Resonance Theory
I-⇢ Kohonen Yokuzihlela Okuzenzakalelayo Amamephu
I-⇢ Ehlanganisiwe Inethiwekhi Yokwenethiwekhi
⇢ I-Neural Network Yokufakelwa - I-Hopfield Networks
Umshini we-⇢ Boltzmann
I-⇢ Ubumbano-State-in-a-Box Network
Ukuthuthukiswa kwe-⇢ Ukusebenzisa i-Hopfield Network
⇢ Okunye Amasu Wokuthuthukisa
⇢ I-Neural Network yokufakelwa - i-Algorithm ye-Genetic
⇢ Izicelo ze-Neural Networks
⇢ Zhang Neural Networks for Isixazululo Isikhathi Sesikhathi-Ukushintsha Ukungalingani Linear
I-⇢ ye-Bayesian Regularized Neural Networks ye-Small and Big p Data
I-⇢ Ejwayelekile Yokulawulwa Neural Networks ne-Application ku-Spectrometry ye-Neutron
⇢ I-Neural Network Eqhubekayo Yesikhathi Esiqhubekayo Yokulinganisa Okuhlanganyelwe Nokunquma I-Decoding - ⇢ Izimo Zokusebenza ze-Analog Hardware
⇢ Ukukhomba Okuqondile Kwamagama Ngaphandle Kwedatha-Usizo: Indlela Yokusebenza Yenethiwekhi Ye-MIMO
⇢ I-Neural Network yokufakelwa njenge-FPGA Trigger ye-Detection ye-Showers-Induced Air Showers
⇢ Kusistimu Yobuchwepheshe Ezingenangqondo kuya ku-Neural Network yokufakelwa: Isicelo sosizo lwe-Speech Assisted Speech
⇢ Neural Networks ye-Turbine Diagnosis
⇢ Ukusetshenziswa kwe-Neural Networks (NNs) ye-Fabric Classification
⇢ Izibikezelo Zokuduma Kwezulu Ukusebenzisa Ama-Neural Networks Asebenzayo
⇢ Ukuhlaziya Impembelelo Ye-Airborne Particulate Matter Emvelweni Wokungcoliswa Kwamadolobha ne-⇢ Usizo lwe-Hybrid Neural Networks
Izindlela Ezithuthukisiwe ze-⇢ ku-Neural Networks-Based Based Sensitivity Analysis ne-⇢ ⇢ ⇢ ⇢ Izinhlelo zokusebenza ku-Engineering Civil
⇢ Ama-Neural Networks Asebenzayo Ekuhleleni Ukukhiqiza Nokukhiqiza Ukubikezela kwe-⇢ ⇢ ⇢ ⇢ ⇢ Uhlelo Lokukhiqizwa Kwe-Wafer Semiconductor
⇢ Neural Network Inverse Modeling yokwenza ngcono
Kubuyekezwe ngo-
Dis 4, 2019

Ukuphepha kwedatha

Ukuphepha kuqala ngokuqonda ukuthi onjiniyela baqoqa futhi babelane kanjani ngedatha yakho. Ubumfihlo bedatha nezinqubo zokuphepha zingahluka kuye ngokusebenzisa kwakho, isifunda, nobudala. Unjiniyela unikeze lolu lwazi futhi angalubuyekeza ngokuhamba kwesikhathi.
Le app ingabelana ngalezi zinhlobo zedatha nezinkampani ezingahlobene ngqo
Idivayisi noma amanye ama-ID
Ayikho idatha eqoqiwe
Funda kabanzi mayelana nokuthi onjiniyela bakuveza kanjani ukuqoqwa
Idatha ibetheliwe lapho ithunyelwa
Idatha ayikwazi ukusulwa

Yini entsha

- More Topics Added

Ukusekelwa kwe-app

Mayelana nonjiniyela
Prabhu Thankaraju
vishwasparrow@gmail.com
101-B,Nishadham Bldg,1/5 Chipale,Panvel NAVI MUMBAI, Maharashtra 410206 India
undefined

Okuningi ngo-Intelitech