| date accessioned | 2020-03-12T21:07:30Z |  | 
| date available | 2020-03-12T21:07:30Z |  | 
| date issued | 2014 |  | 
| identifier other | 6925708.pdf |  | 
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1037814?locale-attribute=en&show=full |  | 
| format | general |  | 
| language | English |  | 
| publisher | IEEE |  | 
| title | Executive Roundtable |  | 
| type | Conference Paper |  | 
| contenttype | Metadata Only |  | 
| identifier padid | 8164221 |  | 
| subject keywords | data reduction |  | 
| subject keywords | feedforward neural nets |  | 
| subject keywords | learning (artificial intelligence) |  | 
| subject keywords | pattern classification |  | 
| subject keywords | vectors |  | 
| subject keywords | UCI machine learning repository |  | 
| subject keywords | data classification |  | 
| subject keywords | feedforward neural network |  | 
| subject keywords | four-class synthetic problem |  | 
| subject keywords | input vectors |  | 
| subject keywords | minimum boundary vector distance selection |  | 
| subject keywords | paired vector |  | 
| subject keywords | reduced training set |  | 
| subject keywords | training set reduction algorithm |  | 
| subject keywords | Accuracy |  | 
| subject keywords | Biological neural networks |  | 
| subject keywords | Equations |  | 
| subject keywords | Shape |  | 
| subject keywords | Support vector machines |  | 
| subject keywords | Training |  | 
| subject keywords | Vectors |  | 
| subject keywords | boundary detection |  | 
| subject keywords | data reduction |  | 
| subject keywords | neural netwo |  | 
| identifier doi | 10.1109/InfoSEEE.2014.6948071 |  | 
| journal title | igh-Performance Interconnects (HOTI), 2014 IEEE 22nd Annual Symposium on |  | 
| filesize | 76674 |  | 
| citations | 0 |  |