Name
Title | ||
|---|---|---|
Minimization of Number of Neurons in Voronoi Diagram-Based Artificial Neural Networks. |
Abstract | ||
|---|---|---|
Artificial Neural Networks (ANNs) have been widely used to deal with various classification problems for decades. Different algorithms for synthesizing ANNs have been proposed as well. The number of neurons in an ANN usually controls the tradeoff between classification ability and computational efficiency. That is, more neurons tend to yield better results but are less efficient in either the trai... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TMSCS.2016.2555303 | IEEE Transactions on Multi-Scale Computing Systems |
Keywords | DocType | Volume |
Neuromorphics,Artificial neural networks,Training data,Biological neural networks,Network topology,Neural networks | Journal | 2 |
Issue | ISSN | Citations |
4 | 2332-7766 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Lin Chen | 1 | 12 | 3.40 |
| Yung-Chih Chen | 2 | 413 | 39.89 |
| Wang Chun-Yao | 3 | 251 | 36.08 |
| Ching-Yi Huang | 4 | 58 | 10.06 |
| Chiou-Ting Hsu | 5 | 1 | 1.03 |