Abstract
The ID model is a novel model derived from a macroscopic model that is attached to conventional network action, and the important character is what we can introduce negative resistance effect into. In this paper, we aim at the unstabilization of local minimum states, which is a big problem to solving optimization problems in a neural network, by the action of this negative resistance effect, and we show the good performance by numerical experiments.
| Original language | English |
|---|---|
| Pages (from-to) | 981-987 |
| Number of pages | 7 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3213 |
| Publication status | Published - 2004 Dec 1 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)