Mohd Najib B. Mohd Salleh

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The back propagation (BP) algorithm is a very popular learning approach in multilayer feedforward networks. However, the most serious problems associated with the BP are local minima problem and slow convergence speeds. Over the years, many improvements and modifications of the BP learning algorithm have been reported. In this research, we propose a new(More)
In some practical Neural Network (NN) applications, fast response to external events within enormously short time is highly demanded. However, by using back propagation (BP) based on gradient descent optimisation method obviously not satisfy in several application due to serious problems associated with BP which are slow learning convergence velocity and(More)
Spiking neural network (SNN) is considered as the third generation of artificial neural networks. Although there are many models of SNN, Evolving Spiking Neural Network (ESNN) is widely used in many recent research works. Evolutionary algorithms (EAs) have been used to optimize the ESNN, which has been used to solve the learning problems. In this paper, the(More)
This paper describes knowledge extraction process using decision tree technique that provides highly interpretable and a good accuracy in incomplete information system. In previous study, many real world data sets have incomplete information which attempt to impute some values or simply deleting directly the missing values. This incomplete information(More)