English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The purpose of this research is to develop a method of calculation of exponential decay rate for a neural network model based on differential equations with discretely distributed delays. The method results in a quasipolynomial inequality allowing us to investigate the qualitative behavior of the model depending on parameters. In such way we showed inverse dependency in changes of exponential decay rate and time delay. An example of a two-neuron network with four delays is given and numerical simulations are performed to illustrate the obtained results.

On indirect method of exponential estimation for neural network model with discretely distributed delays