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Mendeley readers
| Chapter title |
Artificial Neural Network
|
|---|---|
| Chapter number | 5 |
| Book title |
Intelligent Techniques for Data Science
|
| Published by |
Springer International Publishing, October 2016
|
| DOI | 10.1007/978-3-319-29206-9_5 |
| Book ISBNs |
978-3-31-929205-2, 978-3-31-929206-9
|
| Authors |
Rajendra Akerkar, Priti Srinivas Sajja |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 3 | 100% |
| Researcher | 3 | 100% |
| Student > Bachelor | 2 | 67% |
| Student > Ph. D. Student | 1 | 33% |
| Lecturer | 1 | 33% |
| Other | 2 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 133% |
| Biochemistry, Genetics and Molecular Biology | 3 | 100% |
| Engineering | 2 | 67% |
| Earth and Planetary Sciences | 1 | 33% |
| Agricultural and Biological Sciences | 1 | 33% |
| Other | 0 | 0% |