Title :
A comparison between Extreme Learning Machine and Fast Support Vector Classifier
Author :
Mihai Bucurica;Radu Dogaru
Author_Institution :
Doctoral School in Electronics, Telecommunications and Information Technology, University “
fDate :
6/1/2015 12:00:00 AM
Abstract :
Herein we consider the comparison of two neural networks: the Extreme Learning Machine (ELM) and the Fast Support Vector Classifier (FSVC, also known as RBF-M). Classification tasks are considered showing that FSVC has similar performance to ELM while having the advantage of a unique radius and of a precise result (no randomness is here involved).
Keywords :
"Training","Neurons","Support vector machines","Biological neural networks","Testing","Accuracy"
Conference_Titel :
Electronics, Computers and Artificial Intelligence (ECAI), 2015 7th International Conference on
Print_ISBN :
978-1-4673-6646-5
DOI :
10.1109/ECAI.2015.7301169