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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Bibliographic Details
Main Authors: Kwabena Frimpong Marfo, Małgorzata Przybyła-Kasperek
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/25/5/703