TY  - JOUR
T1  - Prey-Predator Algorithm as a New Optimization Technique Using in Radial Basis Function Neural Networks
AU - Luleseged Tilahun, Nawaf Hamadneh Surafel AU - , Saratha Sathasivam AU - , Ong Hong Choon 
JO  - Research Journal of Applied Sciences
VL  - 8
IS  - 7
SP  - 383
EP  - 387
PY  - 2013
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2013.383.387
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2013.383.387
KW  - Radial basis function neural network
KW  -Prey-Predator algorithm
KW  -Genetic algorithm
KW  -Metaheuristic
KW  -algorithm
KW  -optimization
AB  - Prey-Predator algorithm is a new metaheuristic algorithm developed 
  for optimization problems. It is inspired by the interaction between a predator 
  and preys of animals in the ecosystem. In this study, researchers have used 
  the Prey-Predator algorithm to train the radial basis function neural networks. 
  The most important in the training is finding the parameters including the centers, 
  the widths and the output weights. Researchers have compared the performance 
  of the new algorithm with the genetic algorithm on a logic programming data, 
  iris flowers data set and new thyroid data set. The sum square error function 
  was used to evaluate the performance of the algorithms. From the computational 
  results, researchers found that Prey-Predator algorithm is better in improving 
  the performance of radial basis function neural.
ER  -