Mohamad Firdaus Ab Aziz

  • Citations Per Year
Learn More
Particle swarm optimization (PSO) was successfully applied to enhance the classification accuracy in Elman recurrent neural network but the search ability on PSO is still in random. In this paper, a Quantum based approach is implemented to improve the searching ability of the individual particle of PSO. From the experiments, we found the results are(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)
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)
As the widespread modus operandi in real applications, Backpropagation(BP) in Recurrent Neural Networks (RNN) is computationally more powerful than standard feedforward neural networks. In principle, RNN can implement almost any arbitrary sequential behavior. However, there are many drawbacks in BP network, for instance, confinement in finding local minimum(More)
  • 1