- 1. Empirical comparison of five deep learning architectures for GNSS time-series data forecasting
- (Content №5 2025)
- ... 17. Kiani, M. (2020). On GNSS residual position time series prediction and analysis using radial basis function networks machine learning. Second international conference on Development of Materials ...
- Created on 25 October 2025
- 2. Energy optimization of a hoisting engine acceleration
- (Power Supply Technologies)
- ... basis functions was used. They included the free parameters, which are used for energy criterion minimization. Several approximate solutions of the variational problem were obtained. By using the numerical ...
- Created on 26 October 2019
- 3. Dynamic multi-swarm PSO based on К-means clustering
- (Information technologies, systems analysis and administration)
- ... Polynomial Radial Basis Function Neural Networks (PRBF NNS) realized with the aid of Particle Swarm Optimization and Differential Evolution”, Neurocomputing, vol. 78, no.1, pp. 121−132. 4. Shafiq ...
- Created on 08 February 2016