### 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 language | English |
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Title of host publication | IJCNN Int Jt Conf Neural Network |

Editors | Anon |

Publisher | Publ by IEEE |

Pages | 584 |

Number of pages | 1 |

Publication status | Published - 1989 |

Externally published | Yes |

Event | IJCNN International Joint Conference on Neural Networks - Washington, DC, USA Duration: 1989 Jun 18 → 1989 Jun 22 |

### Other

Other | IJCNN International Joint Conference on Neural Networks |
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City | Washington, DC, USA |

Period | 89/6/18 → 89/6/22 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*IJCNN Int Jt Conf Neural Network*(pp. 584). Publ by IEEE.

**Parallel distributed gradient descent and ascent methods.** / Takefuji, Yoshiyasu.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*IJCNN Int Jt Conf Neural Network.*Publ by IEEE, pp. 584, IJCNN International Joint Conference on Neural Networks, Washington, DC, USA, 89/6/18.

}

TY - GEN

T1 - Parallel distributed gradient descent and ascent methods

AU - Takefuji, Yoshiyasu

PY - 1989

Y1 - 1989

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0024903299&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024903299&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0024903299

SP - 584

BT - IJCNN Int Jt Conf Neural Network

A2 - Anon, null

PB - Publ by IEEE

ER -