Parallel distributed gradient descent and ascent methods

研究成果: Paper

抜粋

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.

元の言語English
ページ数1
出版物ステータスPublished - 1989 12 1
イベントIJCNN International Joint Conference on Neural Networks - Washington, DC, USA
継続期間: 1989 6 181989 6 22

Other

OtherIJCNN International Joint Conference on Neural Networks
Washington, DC, USA
期間89/6/1889/6/22

    フィンガープリント

ASJC Scopus subject areas

  • Engineering(all)

これを引用

Takefuji, Y. (1989). Parallel distributed gradient descent and ascent methods. 論文発表場所 IJCNN International Joint Conference on Neural Networks, Washington, DC, USA, .