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Computational model used in machine learning, based on connected, hierarchical functions

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  • modelo computacional usado em aprendizagem de máquina, baseado em funções hierárquicas conectadas (pt)
  • mô hình toán học hay mô hình tính toán được xây dựng dựa trên các mạng neural sinh học (vi)
  • model computațional utilizat în învățarea automată, bazat pe funcții ierarhice conectate (ro)
  • modèle de calcul inspiré des neurones biologiques (fr)
  • computational model used in machine learning, based on connected, hierarchical functions (en)
  • Netz aus künstlichen Neuronen (de)
  • modello matematico inspiou da-e ræ neurale biològiche (lij)
  • samlingsnamn på självlärande algoritmer som försöker efterlikna biologiska neuronnät (sv)
  • ankucha llika (qu)
  • математична модель, побудована за принципом організації та функціонування біологічних нейронних мереж (uk)
  • koneoppimisessa käytetty laskennanmalli (fi)
  • modello matematico ispirato ai neuroni biologici (it)
  • modelo computacional (es)
  • 模仿生物神經網路結構和功能的數學模型或計算模型 (zh)
  • paradigma d'aprenentatge i processament automàtic (ca)
  • հաշվողական մոդել, որն օգտագործվում է մեքենայական ուսուցման մեջ՝ հիմնված միացված, հիերարխիկ ֆունկցիաների վրա (hy)
  • ierīce, kas paredzēta smadzeņu darbības modelēšanai (lv)
  • математическая модель, построенная по принципу организации и функционирования биологических нейронных сетей (ru)
  • výpočetní model používaný ve strojovém učení (cs)
  • modelo computacional usado na aprendizaxe automática, baseado en funcións xerárquicas conectadas (gl)
  • υπολογιστικό μοντέλο στην μορφή κυκλώματος διασυνδεδεμένων κόμβων (παρομοιάζοντας τους βιολογικούς νευρώνες) που χρησιμοποιείται στην επίλυση προβλημάτων στον χώρο της υπολογιστικής νοημοσύνης (el)
  • 主に機械学習で用いられる、人間の脳神経を模したモデルの一種 (ja)
  • 기계학습과 인지과학에서 생물학의 신경망에서 영감을 얻은 알고리즘 (ko)
  • model obliczeniowy w uczeniu maszynowym oparty o hierarchiczne funkcje (pl)
  • מודל מתמטי חישובי (iw)
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  • Subsequent run of the network on an input image : The network correctly detects the starfish. However, the weakly weighted association between ringed texture and sea urchin also confers a weak signal to the latter from one of two intermediate nodes. In addition, a shell that was not included in the training gives a weak signal for the oval shape, also resulting in a weak signal for the sea urchin output. These weak signals may result in a false positive result for sea urchin. (en)
  • In reality, textures and outlines would not be represented by single nodes, but rather by associated weight patterns of multiple nodes. (en)
  • Simplified example of training a neural network in object detection: The network is trained by multiple images that are known to depict starfish and sea urchins, which are correlated with "nodes" that represent visual features. The starfish match with a ringed texture and a star outline, whereas most sea urchins match with a striped texture and oval shape. However, the instance of a ring textured sea urchin creates a weakly weighted association between them. (en)
dbp:date
  • 2009-07-09 (xsd:date)
  • 2011-01-24 (xsd:date)
  • 2015-06-07 (xsd:date)
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  • horizontal (en)
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  • 6 (xsd:integer)
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  • Simplified neural network example.svg (en)
  • Simplified neural network training example.svg (en)
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  • vanc (en)
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  • 400 (xsd:integer)
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  • Neural network (machine learning) (en)
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