Parallel distributed gradient descent and ascent methods

Research output: Contribution to conferencePaper

Abstract

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.

Original languageEnglish
Number of pages1
Publication statusPublished - 1989 Dec 1
Externally publishedYes
EventIJCNN International Joint Conference on Neural Networks - Washington, DC, USA
Duration: 1989 Jun 181989 Jun 22

Other

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

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Takefuji, Y. (1989). Parallel distributed gradient descent and ascent methods. Paper presented at IJCNN International Joint Conference on Neural Networks, Washington, DC, USA, .