| Information | |
|---|---|
| has gloss | eng: The neocognitron is a hierarchical multilayered neural network proposed by Professor Kunihiko Fukushima. It has been used for handwritten character recognition and other pattern recognition tasks. The neocognitron is inspired from the model proposed by Hubel & Wiesel in 1959. They found two types of cells in visual primary cortex called simple cell and complex cell, and also proposed a cascading model of these two type of cells. The neocognitron is a natural extension of these cascading models. In the neocognitron, which consists of two types of cells called S-cell and C-cell, the local features are extracted by S-cells, and these features' deformation, such as local shifts, are tolerated by C-cells. Local features in the input are integrated gradually and classifying in the higher layers. The idea of local feature integration is in several other models such as LeNet and SIFT model. |
| lexicalization | eng: neocognitron |
| instance of | (noun) any network of neurons or nuclei that function together to perform some function in the body neural network, neural net |
| Meaning | |
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| Arabic | |
| has gloss | ara: النِيوكُونييترُون هو نوع من الشَبَكات العُصبونِية الهرمية ومتعددة المستويات، أُقترحت في عام 1980 من قبل خبير الذكاء الصناعي الياباني كينيهيكو فيكيشيما (Kunihiko Fukushima). وهي تستعمل في التعرف البصري على أنساق الكتابة اليدوية وغيرها من مهام تمييز الأنماط. |
| lexicalization | ara: نيوكونييترون |
| German | |
| has gloss | deu: Das Neocognitron ist ein hierarchisches mehrschichtiges künstliches neuronales Netz, welches von Professor Kunihiko Fukushima bereits 1980 entwickelt wurde. Seitdem wurde es immer wieder verbessert und an das visuelle Wahrnehmungssystem angepasst. Es kommt zum Beispiel bei der Erkennung handschriftlicher Zeichen und bei anderen Mustererkennungs-Aufgaben zum Einsatz. |
| lexicalization | deu: Neocognitron |
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