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Mendeley readers
Chapter title |
Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting
|
---|---|
Chapter number | 80 |
Book title |
Artificial Neural Networks – ICANN 2007
|
Published by |
Springer, Berlin, Heidelberg, September 2007
|
DOI | 10.1007/978-3-540-74695-9_80 |
Book ISBNs |
978-3-54-074693-5, 978-3-54-074695-9
|
Authors |
Ronaldo R. B. de Aquino, Geane B. Silva, Milde M. S. Lira, Aida A. Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Josinaldo. B. de Oliveira, Aquino, Ronaldo R. B. de, Silva, Geane B., Lira, Milde M. S., Ferreira, Aida A., Carvalho, Manoel A., Neto, Otoni Nóbrega, Oliveira, Josinaldo. B. de |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 13% |
Unknown | 7 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 38% |
Professor > Associate Professor | 2 | 25% |
Researcher | 1 | 13% |
Unknown | 2 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 38% |
Computer Science | 2 | 25% |
Medicine and Dentistry | 1 | 13% |
Sports and Recreations | 1 | 13% |
Unknown | 1 | 13% |