@inproceedings{scholars1108,
           title = {A comparison of feed-forward back-propagation and radial basis artificial neural networks: A Monte Carlo study},
            year = {2010},
             doi = {10.1109/ITSIM.2010.5561599},
          volume = {2},
         journal = {Proceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10},
           pages = {994--998},
            note = {cited By 13; Conference of 2010 International Symposium on Information Technology, ITSim'10 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:81915},
         address = {Kuala Lumpur},
        keywords = {Artificial Neural Network; Feed-Forward; Feedforward backpropagation; Following problem; Monte Carlo study; Production function; Radial basis; Real problems; Softcomputing techniques; Training algorithms, Information technology; Monte Carlo methods; Neural networks; Soft computing, Backpropagation algorithms},
        abstract = {Interest in soft computing techniques, such as artificial neural networks (ANN) is growing rapidly. Feed-forward back-propagation and radial basis ANN are the most often used applications in this regard. They have been utilized to solve a number of real problems, although they gained a wide use, however the challenge remains to select the best of them in term of accuracy and efficiency performance. This paper presents a comparison between feed-forward back-propagation and radial basis ANN base on their performance. The comparison is performed using a Monte Carlo study that involves the following problems: addition, multiplication, division, powers and a production function. The result indicates that the proposed radial basis ANN results are significantly better than proposed feed-forward back-propagation ANN results for all five problems. {\^A}{\copyright} 2010 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049371848&doi=10.1109\%2fITSIM.2010.5561599&partnerID=40&md5=28c8ebe2539493c5f724a81970f1526f},
            isbn = {9781424467181},
          author = {Abdalla, O. A. and Zakaria, M. N. and Sulaiman, S. and Ahmad, W. F. W.}
}