Name
Abstract | ||
|---|---|---|
The keys for the development of an effective classification algorithm are: 1) discovering feature spaces with large margins between clusters and close proximity of the classmates and 2) discovering the smallest number of the features to perform accurate classification. In this paper, a new supervised classification algorithm, called neural dynamic classification (NDC), is presented with the goal o... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TNNLS.2017.2682102 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Heuristic algorithms,Training,Optimization,Clustering algorithms,Support vector machines,Robustness,Kernel | Kernel (linear algebra),Convergence (routing),Pattern recognition,Computer science,Support vector machine,Algorithm,Probabilistic neural network,Robustness (computer science),Time delay neural network,Artificial intelligence,Smoothness,Cluster analysis | Journal |
Volume | Issue | ISSN |
28 | 12 | 2162-237X |
Citations | PageRank | References |
7 | 0.42 | 24 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Hossein Rafiei | 1 | 7 | 0.42 |
| Hojjat Adeli | 2 | 2150 | 148.37 |