Mohamad Firdaus Ab Aziz

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Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern recognition and signal processing. In particular, solution to this has found successful application in tasks that involve datasets containing huge numbers of features (in(More)
Despite a variety of Artificial Neural Network (ANN) categories, Backpropagation Network (BP) and Elman Recurrent Network (ERN) are the widespread modus operandi in real applications. However, there are many drawbacks in BP network, for instance, confinement in finding local minimum and may get stuck at regions of a search space or trap in local minima. To(More)
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