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Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2003 / Cilt: 3 - Sayı: 1

Modular and hierarchical specialization in neural networks

A. J. W.M. Ten BERG
L. SPAANENBURG
Sayfa
719–726
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Further we illustrate that a deliberate mix of hierarchically imposed evaluation functions will improve network accuracy and learning speed.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Modularity and hierarchy are fundamental notions in structured system design.
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Temel Bulgular & Veri:By subdividing a large and unstructured problem into smaller and tractable chunks, design automation becomes possible.
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Sonuç & Katkı:Further we illustrate that a deliberate mix of hierarchically imposed evaluation functions will improve network accuracy and learning speed.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Modularity and hierarchy are fundamental notions in structured system design. By subdividing a large and unstructured problem into smaller and tractable chunks, design automation becomes possible. In this paper we discuss the use of modularity and hierarchy for functional specialization during the development of neural networks. We study the behavioral differences and requirements for back-propagation training of feed-forward networks. Further we illustrate that a deliberate mix of hierarchically imposed evaluation functions will improve network accuracy and learning speed.

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Bu Makaleye Atıf Yap

BERG, A. J. W. T., SPAANENBURG, L. (2022). Modular and hierarchical specialization in neural networks. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 3 - Sayı: 1, 719–726. https://ajindex.com/articles/543913

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Kaynakça (9)

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