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Details for article 58 of 92 found articles
| Title: |
PARALLEL DISTRIBUTED NEURAL NETWORKS FOR CLASSIFICATION |
| Author: |
Evans, D. J. Tay, L. P. |
| Appeared in: |
International journal of parallel, emergent and distributed systems |
| Paging: | Volume 5 (1995) nr. 3-4 pages 293-305 |
| Year: |
1995 |
| Contents: |
Neural networks have been parallelised in many different ways, but most of these methods involve the parallelisation of the internal looping operations of the models, maintaining a single neural network solution. This paper introduces a new method which involves solving a single classification problem with multiple neural networks, as such, the solution is derived by concurrently operating neural networks. The conglomeration of neural networks function together to provide a single classification solution. A generic waveform experiment is used to illustrate the effectiveness of the Parallel Distributed Neural Networks (PDNN) paradigm. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 58 of 92 found articles
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