### Abstract

A constraint resolution scheme of the Hopfield neural network named `Neuron Mask' is presented for a class of combinatorial optimization problems. Neuron Mask always satisfies constraints of selecting a solution candidate from each group so as to force the state of the neural network into a solution space. This paper presents the definition of Neuron Mask and the introduction into the neural network through the N-queens problem. The performance is verified by simulations on three computation modes, where Neuron Mask improves the performance of the neural network.

Original language | English |
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Title of host publication | IEEE International Conference on Neural Networks - Conference Proceedings |

Publisher | IEEE |

Pages | 1289-1294 |

Number of pages | 6 |

Volume | 2 |

Publication status | Published - 1997 |

Externally published | Yes |

Event | Proceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4) - Houston, TX, USA Duration: Jun 9 1997 → Jun 12 1997 |

### Other

Other | Proceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4) |
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City | Houston, TX, USA |

Period | 6/9/97 → 6/12/97 |

### Fingerprint

### ASJC Scopus subject areas

- Software
- Control and Systems Engineering
- Artificial Intelligence

### Cite this

*IEEE International Conference on Neural Networks - Conference Proceedings*(Vol. 2, pp. 1289-1294). IEEE.

**Proposal of `neuron mask' in neural network algorithm for combinatorial optimization problems.** / Takenaka, Yoichi; Funabiki, Nobuo; Nishikawa, Seishi.

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

*IEEE International Conference on Neural Networks - Conference Proceedings.*vol. 2, IEEE, pp. 1289-1294, Proceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4), Houston, TX, USA, 6/9/97.

}

TY - GEN

T1 - Proposal of `neuron mask' in neural network algorithm for combinatorial optimization problems

AU - Takenaka, Yoichi

AU - Funabiki, Nobuo

AU - Nishikawa, Seishi

PY - 1997

Y1 - 1997

N2 - A constraint resolution scheme of the Hopfield neural network named `Neuron Mask' is presented for a class of combinatorial optimization problems. Neuron Mask always satisfies constraints of selecting a solution candidate from each group so as to force the state of the neural network into a solution space. This paper presents the definition of Neuron Mask and the introduction into the neural network through the N-queens problem. The performance is verified by simulations on three computation modes, where Neuron Mask improves the performance of the neural network.

AB - A constraint resolution scheme of the Hopfield neural network named `Neuron Mask' is presented for a class of combinatorial optimization problems. Neuron Mask always satisfies constraints of selecting a solution candidate from each group so as to force the state of the neural network into a solution space. This paper presents the definition of Neuron Mask and the introduction into the neural network through the N-queens problem. The performance is verified by simulations on three computation modes, where Neuron Mask improves the performance of the neural network.

UR - http://www.scopus.com/inward/record.url?scp=0030660003&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030660003&partnerID=8YFLogxK

M3 - Conference contribution

VL - 2

SP - 1289

EP - 1294

BT - IEEE International Conference on Neural Networks - Conference Proceedings

PB - IEEE

ER -