Study of a New Neuron
| dc.creator | Adler, S. L. | |
| dc.creator | Bhanot, G. V. | |
| dc.creator | Weckel, J. D. | |
| dc.date | 1994-06-20 | |
| dc.date.accessioned | 2026-07-07T09:05:29Z | |
| dc.date.available | 2026-07-07T09:05:29Z | |
| dc.description | We study a modular neuron alternative to the McCulloch-Pitts neuron that arises naturally in analog devices in which the neuron inputs are represented as coherent oscillatory wave signals. Although the modular neuron can compute $XOR$ at the one neuron level, it is still characterized by the same Vapnik-Chervonenkis dimension as the standard neuron. We give the formulas needed for constructing networks using the new neuron and training them using back-propagation. A numerical study of the modular neuron on two data sets is presented, which demonstrates that the new neuron performs at least as well as the standard neuron. | |
| dc.description | 19 pages, 7 figures(not included) available upon request, postscript file | |
| dc.identifier | https://arxiv.org/abs/adap-org/9406001 | |
| dc.identifier | http://arxiv.org/abs/adap-org/9406001 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/149692 | |
| dc.subject | Adaptation and Self-Organizing Systems | |
| dc.subject | Quantitative Biology | |
| dc.title | Study of a New Neuron | |
| dc.type | text |