Optimization of machine learning algorithms for proteomic analysis using topsis
The present study focuses on a new application of the TOPSIS method for the optimization of machine learning algorithms, supervised neural networks (SNN), the quick classifier (QC), and genetic algorithm (GA) for proteomic analysis. The main hypotheses are that the change in the weights of alternati...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sumy State University
2022-11-01
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| Series: | Журнал інженерних наук |
| Subjects: | |
| Online Access: | https://jes.sumdu.edu.ua/optimization-of-machine-learning-algorithms-for-proteomic-analysis-using-topsis/ |