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Mendeley readers
Chapter title |
An Adaptive Individual Inertia Weight Based on Best, Worst and Individual Particle Performances for the PSO Algorithm
|
---|---|
Chapter number | 50 |
Book title |
Artificial Intelligence and Soft Computing
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-91253-0_50 |
Book ISBNs |
978-3-31-991252-3, 978-3-31-991253-0
|
Authors |
G. Spavieri, D. L. Cavalca, R. A. S. Fernandes, G. G. Lage, Spavieri, G., Cavalca, D. L., Fernandes, R. A. S., Lage, G. G. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 33% |
Professor | 2 | 22% |
Student > Doctoral Student | 1 | 11% |
Student > Ph. D. Student | 1 | 11% |
Researcher | 1 | 11% |
Other | 0 | 0% |
Unknown | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 44% |
Engineering | 2 | 22% |
Business, Management and Accounting | 1 | 11% |
Unknown | 2 | 22% |