Parallel distributed gradient descent and ascent methods

Yoshiyasu Takefuji

研究成果: Paper査読

抄録

Summary form only given, as follows. A new parallel distributed processing architecture called an entropy machine (EM) is proposed. This machine, which is based on an artificial neural network composed of massive neurons and interconnections, is used for solving a variety of NP-complete optimization problems. The EM performs either the parallel distributed gradient descent method or gradient ascent method to search for minima or maxima.

本文言語English
ページ数1
出版ステータスPublished - 1989 12月 1
外部発表はい
イベントIJCNN International Joint Conference on Neural Networks - Washington, DC, USA
継続期間: 1989 6月 181989 6月 22

Other

OtherIJCNN International Joint Conference on Neural Networks
CityWashington, DC, USA
Period89/6/1889/6/22

ASJC Scopus subject areas

  • 工学(全般)

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