Multi-Criteria Genetic Algorithm for Optimizing Distributed Computing Systems in Neural Network Synthesis
Artificial neural networks (ANNs) are increasingly effective in addressing complex scientific and technological challenges. However, challenges persist in synthesizing neural network models and defining their structural parameters. This study investigates the use of parallel evolutionary algorithms...
Saved in:
| Main Authors: | Valeriya V. Tynchenko, Ivan Malashin, Sergei O. Kurashkin, Vadim Tynchenko, Andrei Gantimurov, Vladimir Nelyub, Aleksei Borodulin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/17/5/215 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating Machine Learning and Multi-Objective Optimization in Biofuel Systems: A Review
by: Ivan P. Malashin, et al.
Published: (2025-01-01) -
Analysis of IoT-Collected Radish Growth Data Using Deep Neural Networks
by: Ivan P. Malashin, et al.
Published: (2025-01-01) -
Deep learning for property prediction of natural fiber polymer composites
by: Ivan P. Malashin, et al.
Published: (2025-07-01) -
A review of physics-informed and data-driven approaches for manufacturing process optimization in polymer matrix composites
by: Ivan P. Malashin, et al.
Published: (2025-12-01) -
Automated Text Structuring: Natural Language Processing and Regular Expressions in XML Tag Filling
by: Ivan P. Malashin, et al.
Published: (2024-01-01)