articles
Management of a multi-position system for identifying elements of adaptive transmitters based on hybrid data integration by a heterogeneous neural network
heterogeneous neural network, distributed measuring system, oscillator neurons, coupled signal converters, artificial neuron rhythm, neuron communication network, self-organizing migration optimization algorithm.
The author:
Lavrenkov Y.
Degree:
PhD in Technique, Kaluga Branch of the Bauman Moscow State Technical University
Location:
Kaluga
All articles:
Adaptive digital data flows router based on fuzzy neural network approach
Using neural associative machines to detect intrusion into local networks
Analysis of the data transmission channel characteristics using neural network
Synchronization of communication nodes of the communication network on the basis of neural metanet
