Recent studies in cognitive neurobiology have shown that biological neurons interact with each other through multiple neurotransmitter channels: a single neuron simultaneously secretes different neurotransmitters, each of which performs a specific function. Based on this approach, the article proposes a new type of radial basis neural network model. In the model, the connection between two neurons is represented not by a single value, but by a set of values, that is, multi-weighted connections; each connection models a specific type of neurotransmitter. Such a structure brings the model closer to real biological neuronal systems.
| Mualliflar | Khudaybergenov, Kabul |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-05-30 |
| Son | 2 |
| Betlar | 235-240 |
| Til | Rus |
radial bazis funksiyasi, radial bazisli neyron to‘ri, neyrotransmitter, vazn, yashirin qatlam, tasniflash, radial basis function, radial basis neural network, neurotransmitter, weight, hidden layer, classification
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