Study on the Use of Artificially Generated Objects in the Process of Training MLP Neural Networks Based on Dispersed Data

This study concerns dispersed data stored in independent local tables with different sets of attributes. The paper proposes a new method for training a single neural network—a multilayer perceptron based on dispersed data. The idea is to train local models that have identical structures based on loc...

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Detalles Bibliográficos
Autores principales: Marfo, Kwabena Frimpong, Przybyła-Kasperek, Małgorzata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217427/
https://www.ncbi.nlm.nih.gov/pubmed/37238459
http://dx.doi.org/10.3390/e25050703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217427/
https://www.ncbi.nlm.nih.gov/pubmed/37238459
http://dx.doi.org/10.3390/e25050703

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