Name
Abstract | ||
|---|---|---|
A new type of neuron model is proposed including the simulated synaptic function where the symbolized particles are generated, emitted, stored and released towards the neurons of the next layer, as a simplified analogy of the function that the real neurons and synapses do by chemical particles. The several kinds of chemical particles (about 25 kinds) have been discovered on the recent scientific knowledge. The simulated system of the model was applied to the analysis of voiced signals, and obtained useful results such that even with a single neuron including the unit simulated synapse, the voices examined demonstrated a high degree of recognition. |
Year | Venue | Keywords |
|---|---|---|
1998 | ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3 | neuron model, synapse, symbolized particle |
Field | DocType | Citations |
Biological neuron model,Pattern recognition,Computer science,Speech recognition,Artificial intelligence,Artificial neural network | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazunori Miyamoto | 1 | 0 | 0.68 |
| Youichi Tsubusaki | 2 | 0 | 0.34 |
| T. Yanaru | 3 | 16 | 6.03 |
| Masahiro Nagamatsu | 4 | 0 | 1.69 |