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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |