抄録
In this study, a new artificial neuron network model called the meta-controlled Boltzmann machine is introduced. The meta-controlled Boltzmann machine model includes the McCulloch-Pitts model, the Hopfield network, and also the Boltzmann machine. The proposed method are applied both diffusion processes and simulated annealing. The convergence proof of the proposed method is shows in this paper. Meta-controlled Boltzmann machine show an ability to solve combinatorial optimization problems better than either Hopfield networks or Boltzmann machines.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 |
| ページ | 39-42 |
| ページ数 | 4 |
| DOI | |
| 出版ステータス | Published - 2010 |
| イベント | 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 - Shenzhen 継続期間: 2010 12月 13 → 2010 12月 15 |
Other
| Other | 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 |
|---|---|
| City | Shenzhen |
| Period | 10/12/13 → 10/12/15 |
ASJC Scopus subject areas
- 計算理論と計算数学
- 理論的コンピュータサイエンス