Alessandro Salvini
Orcid: 0000-0002-5825-1019
According to our database1,
Alessandro Salvini
authored at least 19 papers
between 2011 and 2020.
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Bibliography
2020
Swarm intelligence based approach for efficient training of regressive neural networks.
Neural Comput. Appl., 2020
2019
Numerical Dynamic Modeling and Analysis of DC-DC Converters for Photovoltaic Applications.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019
Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019
Parallel Algorithm Based on Singular Value Decomposition for High Performance Training of Neural Networks.
Proceedings of the Computational Science - ICCS 2019, 2019
2018
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018
2017
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Ind. Electron., 2017
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017
2016
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016
2015
On Training Efficiency and Computational Costs of a Feed Forward Neural Network: A Review.
Comput. Intell. Neurosci., 2015
Improving the Jiles-Atherton model by introducing a full dynamic dependence of parameters.
Proceedings of the 1st IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2015
2014
IEEE Trans. Instrum. Meas., 2014
Appl. Math. Comput., 2014
Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014
2013
SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds.
Comput. Math. Methods Medicine, 2013
Closed Forms for the Fully-Connected Continuous Flock of Starlings Optimization Algorithm.
Proceedings of the 15th International Conference on Computer Modelling and Simulation, 2013
2011
The Flock of Starlings Optimization: Influence of Topological Rules on the Collective Behavior of Swarm Intelligence.
Proceedings of the Computational Methods for the Innovative Design of Electrical Devices, 2011