You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Approximate Learning in Temporal Hidden Hopfield Models
|
---|---|
Chapter number | 14 |
Book title |
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003
|
Published by |
Springer, Berlin, Heidelberg, January 2003
|
DOI | 10.1007/3-540-44989-2_14 |
Book ISBNs |
978-3-54-040408-8, 978-3-54-044989-8
|
Authors |
Felix V. Agakov, David Barber, Agakov, Felix V., Barber, David |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ecuador | 1 | 14% |
Germany | 1 | 14% |
Unknown | 5 | 71% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 3 | 43% |
Student > Ph. D. Student | 2 | 29% |
Other | 1 | 14% |
Researcher | 1 | 14% |
Professor > Associate Professor | 1 | 14% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 57% |
Engineering | 3 | 43% |
Agricultural and Biological Sciences | 1 | 14% |