Zvaunoda kuziva kuti unzwisise kuchinja kwekombiyuta yakakupoteredza
Neural network ndiwo maikombiyuta akabatanidzwa zvikwata kana nodhi dzakagadzirirwa kutumira, kugadzirisa, uye kudzidza kubva kune ruzivo (data) nenzira yakafanana neyetsitsi (masero emirungu) inoshanda kuvanhu.
Artificial Neural Networks
Mune teknolojia, mashandisirwo emagetsi emagetsi anowanzotumidzwa semagetsi emagetsi e-neural (ANNs) kana mambure ekutsvaga kuti aparadzanise kubva kune zvigadzirwa zveveural neural izvo zvinotungamirirwa shure. Mhedziso huru shure kweNNA ndechokuti uropi hwemunhu ndiyo yakaoma uye yakangwara "kombiyuta" iripo. Nokuenzanisira maANN zvakanyanya sezvinobvira kune chimiro uye hurongwa hwekushandiswa kwemashoko hunoshandiswa neuropi, vatsvakurudzi vaitarisira kuumba makombiyuta akaswedera kana kupfuura kupfuura unyanzvi hwevanhu. Neural netsuwa ndiyo chinhu chinokosha chekufambira mberi kwezvino mukuchenjera kwekuvaka (AI), kudzidzira kwemichina (ML), nekudzidza zvakadzika .
Neural Networks Inoshanda Sei: Kuenzanisa
Kuti tinzwisise maitiro emagetsi emagetsi ehurumende anobata sei uye kusiyana kwemaviri maviri (zvipenyu uye maitiro), ngatishandise muenzaniso weimba yepahofisi 15-nheyo dzefoni uye mabhodhi ekugadzira nzira iyo inoshevedza muimba yese, pane imwe nzvimbo, uye mahofisi ega. Imwe yega yehofisi muimba yedu yemakore gumi nemashanu yekuvaka zvivako inomiririra neuron (node mumakombiyuta ekutengesa kana nerve cell mu biology). Chivako pachacho chigadziro chine mahofisi emahofisi akagadzirwa muhurongwa hwepasi gumi (neural network).
Kushandisa muenzaniso kune zvigadzirwa zve-neural network, shanduko inogamuchira miriyo ine mitsetse yekubatana kune chero hufisi pane imwe nzvimbo pasi pose muimba. Uyezve, hofisi imwe neimwe ine mitsetse iyo inoiendesa kune imwe neimwe yehofisi muimba yese pane imwe nzvimbo pasi. Fungidzira kuti runhare inouya (inopinza) uye switboardboard inoiendesa kuhofisi padare rechitatu, iyo inoiendesa zvakananga kuhofisi paimba yegumi nematanhatu, iyo inobva yaendeswa kuhofisi pachitanhatu chetatu. Muhuropi, imwe neuron kana nerve cell (ehofisi) inogona kuwirirana zvakananga kune imwe imwe yeuroni muhurongwa wayo kana neural network (chivakwa). Ruzivo (runhare) runogona kuparidzirwa kune rimwe diuron (ofisi) kuti rigadzirise kana kudzidza zvinenge zvichidiwa kusvikira pane mhinduro kana kugadzirisa (zvakabuda).
Apo patinoshandisa muenzaniso uyu kune ANNs, inowanikwa zvakaoma zvikuru. Pasi rimwe nerimwe rekuvaka rinoda shanduko yayo, iyo inogona kungoshamwaridzana kumahofisi ari pasi imwechete, uyewo mabhodhibhopu ari pasi nepasi uye pasi payo. Ihofisi imwe neimwe inogona kungobatana zvakananga kune mamwe mahofisi ari pasi imwechete uye switchboard yepasi. Zvose zvitsva zvinotanga kutanga nebhokisi rekushandura padenga rekutanga uye dzinofanira kutumirwa kune rimwe nerimwe pasi pari nhamba yekuverenga kusvika kusvika 15th floor musati mvumo inogona kuguma. Ngationei kuti tione kuti inoshanda sei.
Fungidzira kuti foni inouya (kuiswa) ku 1 st sakafu switchboard uye inotumirwa kuhofisi pa 1 st floor (node). Iko kudanwa kunotungamirirwa zvakananga pakati peimwe mahofisi (node) pa 1 st floor kusvika yakagadzirira kutumirwa kune rimwe rinotevera. Ikozvino kudanwa kunofanira kudzorerwa ku 1 st floor switchboard, iyo inozoendesa ku 2nd floor switchboard. Aya matanho aya anodzokorora rimwe pasi panguva imwe, uye kudanwa kunotumirwa kuburikidza nehutano iyi pane imwe gorofu imwe chete kusvika kusvika pasi 15.
MuNNN, nodes (mahofisi) anorongwa mumatanda (pasi peimba). Ruzivo (runhare) nguva dzose inouya kuburikidza nehuwandu hwepakati (1 st sakafu nebhokisi rekushandura) uye inofanira kutumirwa kuburikidza nekugadziriswa nehutatu hwega (pasi) isati yasvika kune imwe inotevera. Nheyo imwe neimwe (pasi) inobatanidza tsanangudzo yakanangana neyo foni uye inotuma mugumisiro pamwe chete nekushevedzera kune imwe inotevera. Apo foni yacho inosvika pane yakasara yakatsetseka ( 15th floor uye shanduko yayo), inosanganisira iyo yekugadzirisa mashoko kubva pamatanda 1-14. Iyo nhovo (mahofisi) pa15 th layer (pasi) inoshandisa mazano uye kugadziriswa mashoko kubva kune dzimwe nzvimbo dzakadzika (pasi) kuti iuye nemhinduro kana kugadzirisa (yakabuda).
Neural Networks uye Machine Learning
Neural netsuwa imwe yeruzivo rwekombiki pasi pemichina yekudzidza chikamu. Ichokwadi, kufambira mberi mukutsvakurudza uye kubudirira kwevashandisi emakona emakumbo zvakange zvakanyatsobatanidzwa kune ebbs uye kuerera kwekufambira mberi muML. Neural netsuwa inowedzera dash processing processing uye inowedzera simba rekushandisa yeML, kuwedzerwa huwandu hwemashoko inogona kushandiswa asiwo kukwanisa kuita mabasa akawanda zvakaoma.
Yakatanga kunyorwa mumakombiyuta emhando yeAnNs yakasikwa muna 1943 naWalter Pitts naWarren McCulloch. Pakutanga kufarira uye kutsvakurudza mumagetsi emagetsi nekwakadzidzira magetsi zvakapedzisira zvishoma nezvishoma uye zvakanyanyisa kupfigirwa muna 1969, zvine zvishoma zvishoma zvekutsvaga kufarira. Makombiyuta epanguva yacho haana kungozvitsanya zvakakwana kana kuti zvakakura zvakakwana mapurosesa kuti awedzere nzvimbo idzi mberi, uye huwandu hwakawanda hwe data hwakanga hwadiwa kuML uye mambure emakumbo akanga asina kuwanikwa panguva iyoyo.
Kuwedzerwa kukuru kwekushandisa masimba kwenguva yakareba pamwe chete nekukura nekuwedzerwa kwekambani (uye nokudaro kuwana kuwanda kwemari kudarika neIndaneti) kwakagadzirisa matambudziko iwayo epakutanga. Neural netsu uye ML zvino zvinobatsira mune unyanzvi hwemagetsi tinoona nekushandisa zuva rega rega, sekutarisa kwemaziso , kushandiswa kwechifananidzo nekutsvaga, nekushandura kwemazuva ano-kutumidza zvishomanana.
Neural Network Mienzaniso Muupenyu Hwezuva Hwose
IAN inyaya yakanyanyisa yakaoma mukati me teknolojia, zvisinei, zvakakosha kutora nguva yekuongorora nekuda kwekuwedzera kwenzira dzingakanganisa hupenyu hwedu zuva rega rega. Heano mimwe mienzaniso mimwe miitiro yenzira dzekushandura maruva ekushandisa ikozvino inoshandiswa nemabhizimusi akasiyana-siyana:
- Mari Yezvemari: Neural netsisheni inoshandiswa kufanotaura kushandiswa kwemari mari. Iyo inoshandiswawo mune teknolojia kubva kumashure ekutengeserana okutsvaga anoshandiswa mumusika wekutengesa.
- Mishonga: Kugadzirwa kwezvifananidzo zvevashandisi veveurusiki kwakabatsira kune teknolojia inobatsira kunyatsoongorora uye kuona nguva yekutanga uye yakaoma kuziva zvirwere zvekenza. Imwe yerudzi rwakadaro rwekenza inoparadza maranoma, iyo yakanyanya kuipa uye yakaipa yekenza yeganda. Kuziva maranoma pamatanho ekutanga, asati apararira, anopa varwere vane rudzi urwu rwekenza ndiyo mikana yakanakisisa yokurirova.
- Mamiriro ekunze: Kukwanisa kuona kushanduka kwemamiriro okunze kunoratidza kuti mhepo inogona kunge ine ngozi uye inokuvadza nokukurumidza uye yakarurama sezvinobvira inokosha pakuponesa upenyu. Neural netsuwa inobatanidzwa munguva chaiyo yekugadziriswa kwetabhenekeri uye mifananidzo yeRaadar iyo isingogoni kuona kungoitwa kwekutanga kwemhepo ine dutu nemagutu, asiwo kuona kuchinja kwechimbichimbi mumhepo inokurumidzira uye kutungamira kunoratidza chigumbuso chinogadzira. Tornadoes ndeimwe yezvakasimba uye yakaipisisa mamiriro ezviitiko zviitiko pazvinyorwa - kazhinji kazhinji kamwe kamwe, zvinoparadza, uye zvinouraya kupfuura dutu.