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

Efficient control of a laser welding process requires the reliable predictionof process behavior. A statistical method of field modeling, based onnormalized RBFNN, can be successfully used to predict the spatiotemporaldynamics of surface optical activity in the laser welding process. In thisarticle we demonstrate how to optimize RBFNN to maximize prediction quality.Special attention is paid to the structure of sample vectors, which representthe bridge between the field distributions in the past and future.

Modeling the field of laser welding melt pool by RBFNN