A comparison of feed-forward back-propagation and radial basis artificial neural networks: A Monte Carlo study

Proceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10

Volumn 2, Issue , 2010, Pages 994-998

  Abdalla, Osman Ahmed ^a   Zakaria, Mohd Nordin ^a   Sulaiman, Suziah ^a   Ahmad, Wan Fatimah Wan ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Back propagation; Component: feed forward; Monte carlo study; Radial basis; Training algorithm

Indexed 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;

EID: 78049371848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSIM.2010.5561599     Document Type: Conference Paper

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