Alessandro Salvini

Orcid: 0000-0002-5825-1019

According to our database1, Alessandro Salvini authored at least 19 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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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

A novel method for dynamic battery model identification based on CFSO.
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
The Benchmark TEAM Problem for Multi-Objective Optimization Solved with CFSO.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

2017
Two FPGA-Oriented High-Speed Irradiance Virtual Sensors for Photovoltaic Plants.
IEEE Trans. Ind. Informatics, 2017

Computer Modeling of Nickel-Iron Alloy in Power Electronics Applications.
IEEE Trans. Ind. Electron., 2017

An analytical approach for maximum power point calculation for photovoltaic system.
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017

2016
FEM model identification for a vector hysteresis workbench.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Modeling dynamic hysteresis through Fully Connected Cascade neural networks.
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
A Neural Network-Based Low-Cost Solar Irradiance Sensor.
IEEE Trans. Instrum. Meas., 2014

Swarm/flock optimization algorithms as continuous dynamic systems.
Appl. Math. Comput., 2014

An Efficient Architecture for Floating Point Based MISO Neural Neworks on FPGA.
Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014

Model Identification for Photovoltaic Panels Using Neural Networks.
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


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