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

In this paper, we investigate the convergence dynamics of 2  N   almost periodic encoded patterns of general neural networks subjected to external almost periodic stimuli, including almost periodic delays. Invariant regions are established for the existence of 2  N   almost periodic encoded patterns under two classes of activation functions. By employing the property of ℳ‐cone and inequality technique, attracting basins are estimated and some criteria are derived for the networks to converge exponentially toward 2  N   almost periodic encoded patterns. The results obtained are new; they extend and generalize the corresponding results existing in the previous literature. Copyright © 2008 John Wiley & Sons, Ltd.

Convergence analysis of general neural networks under almost periodic stimuli