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

This paper describes a method that automatically searches Artificial NeuralNetworks using Cellular Genetic Algorithms. The main difference of this methodfor a common genetic algorithm is the use of a cellular automaton capable ofproviding the location for individuals, reducing the possibility of localminima in search space. This method employs an evolutionary search forsimultaneous choices of initial weights, transfer functions, architectures andlearning rules. Experimental results have shown that the developed method canfind compact, efficient networks with a satisfactory generalization power andwith shorter training times when compared to other methods found in theliterature.

Um Metodo para Busca Automatica de Redes Neurais Artificiais