Multiple classes random neural network model and color pattern recognition problems
| dc.contributor.author | José Aguilar | |
| dc.contributor.author | Valentina Rossell | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T15:56:24Z | |
| dc.date.available | 2026-03-22T15:56:24Z | |
| dc.date.issued | 2000 | |
| dc.description | Citaciones: 2 | |
| dc.description.abstract | The purpose of the paper is to describe the use of the multiple classes random neural network model to learn patterns having different colors. We propose a learning algorithm for the recognition of color patterns based upon the nonlinear equations of the multiple classes random neural network model using gradient descent of a quadratic error function. In addition, we propose a progressive retrieval process with adaptive threshold value. | |
| dc.identifier.doi | 10.1109/ijcnn.2000.861519 | |
| dc.identifier.uri | https://doi.org/10.1109/ijcnn.2000.861519 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/55303 | |
| dc.language.iso | en | |
| dc.source | University of the Andes | |
| dc.subject | Computer science | |
| dc.subject | Artificial neural network | |
| dc.subject | Artificial intelligence | |
| dc.subject | Gradient descent | |
| dc.subject | Pattern recognition (psychology) | |
| dc.subject | Nonlinear system | |
| dc.subject | Quadratic equation | |
| dc.subject | Time delay neural network | |
| dc.subject | Function (biology) | |
| dc.subject | Quadratic function | |
| dc.title | Multiple classes random neural network model and color pattern recognition problems | |
| dc.type | article |