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Mendeley readers
Chapter title |
Combining LSTM and Feed Forward Neural Networks for Conditional Rhythm Composition
|
---|---|
Chapter number | 48 |
Book title |
Engineering Applications of Neural Networks
|
Published by |
Springer, Cham, August 2017
|
DOI | 10.1007/978-3-319-65172-9_48 |
Book ISBNs |
978-3-31-965171-2, 978-3-31-965172-9
|
Authors |
Dimos Makris, Maximos Kaliakatsos-Papakostas, Ioannis Karydis, Katia Lida Kermanidis |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 22% |
Student > Ph. D. Student | 6 | 15% |
Researcher | 4 | 10% |
Student > Bachelor | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 7 | 17% |
Unknown | 10 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 14 | 34% |
Computer Science | 13 | 32% |
Neuroscience | 1 | 2% |
Psychology | 1 | 2% |
Unknown | 12 | 29% |