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Title |
Feedforward Neural Network Methodology
|
---|---|
Published by |
Springer New York, June 1999
|
DOI | 10.1007/b97705 |
ISBNs |
978-0-387-98745-3, 978-0-387-22649-1
|
Authors |
Fine, Terrence L. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 3% |
Italy | 1 | 3% |
France | 1 | 3% |
Belgium | 1 | 3% |
Unknown | 28 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 31% |
Student > Bachelor | 4 | 13% |
Researcher | 3 | 9% |
Student > Postgraduate | 2 | 6% |
Student > Master | 2 | 6% |
Other | 4 | 13% |
Unknown | 7 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 12 | 38% |
Computer Science | 4 | 13% |
Physics and Astronomy | 2 | 6% |
Social Sciences | 2 | 6% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 2 | 6% |
Unknown | 9 | 28% |