Search Results - "Zainuddin, Zarita"

Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction by Ong, Pauline, Zainuddin, Zarita

“…Determining the optimal number of hidden nodes and their proper initial locations are essentially crucial before the wavelet neural networks (WNNs) start their…”
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PULP AND PAPER FROM OIL PALM FRONDS: WAVELET NEURAL NETWORKS MODELING OF SODA-ETHANOL PULPING by Zainuddin, Zarita, Wan Daud, Wan Rosli, Ong, Pauline, Shafie, Amran

“…Wavelet neural networks (WNNs) were used to investigate the influence of operational variables in the soda-ethanol pulping of oil palm fronds (viz. NaOH…”
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Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training by Tan, Lee Sen, Zainuddin, Zarita, Ong, Pauline

“…In this study, a machine learning approach based on the unsupervised version of wavelet neural networks (WNNs) is used to solve two-dimensional elliptic…”
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Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data by Zainuddin, Zarita, Pauline, Ong

“…Properly designing a wavelet neural network (WNN) is crucial for achieving the optimal generalization performance. In this paper, in order to improve the…”
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An effective fuzzy C-means algorithm based on symmetry similarity approach by Zainuddin, Zarita, Pauline, Ong

“…•We propose a novel similarity metric based on the concept of symmetry.•The similarity measure is integrated in the conventional fuzzy C-means algorithm.•The…”
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An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Ong, Pauline, Zainuddin, Zarita

“…Although the practicability of using wavelet neural networks (WNNs) in nonlinear function approximation has been addressed extensively, selecting the optimal…”
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Reliable multiclass cancer classification of microarray gene expression profiles using an improved wavelet neural network by Zainuddin, Zarita, Ong, Pauline

“…► Studies were made on the proper initialization of wavelet neural networks (WNNs). ► A novel clustering algorithm was formulated and integrated in WNNs…”
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Calibrating wavelet neural networks by distance orientation similarity fuzzy C-means for approximation problems by Ong, Pauline, Zainuddin, Zarita

“…•We propose a novel fuzzy C-means algorithm.•Its effectiveness is tested in optimizing wavelet neural networks.•Performance comparison in function…”
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Optimization of wavelet neural networks with the firefly algorithm for approximation problems by Zainuddin, Zarita, Ong, Pauline

“…The effectiveness of swarm intelligence has been proven to be at the heart of various optimization problems. In this study, a recently developed…”
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An enhanced harmony search based algorithm for feature selection: Applications in epileptic seizure detection and prediction by Zainuddin, Zarita, Lai, Kee Huong, Ong, Pauline

“…•A feature selection approach is proposed using the harmony search algorithm.•A new harmony memory initialization is adopted and dynamic parameters are…”
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An effective wavelet neural network approach for solving first and second order ordinary differential equations by Tan, Lee Sen, Zainuddin, Zarita, Ong, Pauline, Abdullah, Farah Aini

“…The development of efficient numerical methods for obtaining numerical solutions of first and second order ordinary differential equations (ODEs) is of…”
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Design of wavelet neural networks based on symmetry fuzzy C-means for function approximation by Zainuddin, Zarita, Ong, Pauline

“…Specifying the number and locations of the translation vectors for wavelet neural networks (WNNs) is of paramount significance as the quality of approximation…”
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Almost everywhere approximation capabilities of double Mellin approximate identity neural networks by Fard, Saeed Panahian, Zainuddin, Zarita

“…The research works in approximation theory of artificial neural networks is still far from completion. To fill a gap in this issue, this study focuses on the…”
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The Universal Approximation Capabilities of Cylindrical Approximate Identity Neural Networks by Zainuddin, Zarita, Fard, Saeed Panahian

“…Universal approximation capability of feedforward neural networks is one of the important theoretical concepts in artificial neural networks. In this study, a…”
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The universal approximation capabilities of double 2 $$\pi $$ π -periodic approximate identity neural networks by Panahian Fard, Saeed, Zainuddin, Zarita

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A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure-free electroencephalography signals by Ong, Pauline, Zainuddin, Zarita, Lai, Kee Huong

“…Properly determining the discriminative features which characterize the inherent behaviors of electroencephalography (EEG) signals remains a great challenge…”
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Modeling of acetosolv pulping of oil palm fronds using response surface methodology and wavelet neural networks by Razali, Nasrullah, Ong, Pauline, Ibrahim, Mazlan, Wan Daud, Wan Rosli, Zainuddin, Zarita

“…Mathematical models based on response surface methodology (RSM) and wavelet neural networks (WNNs) in conjunction with a central composite design were…”
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Refined cellular automata model for Tawaf simulation by Zainuddin, Zarita, Lim Eng Aik

“…In this paper, a cellular automata (CA) model is extended to simulate the circular movements of Muslim pilgrims performing the Tawaf ritual within the Masjid…”
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The universal approximation capabilities of double 2π-periodic approximate identity neural networks by Panahian Fard, Saeed, Zainuddin, Zarita

“…The purpose of this study is to investigate the universal approximation capabilities of a certain class of single-hidden-layer feedforward neural networks,…”
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Reliable epileptic seizure detection using an improved wavelet neural network by Zainuddin, Zarita, Huong, Lai Kee, Pauline, Ong

“…Electroencephalogram (EEG) signal analysis is indispensable in epilepsy diagnosis as it offers valuable insights for locating the abnormal distortions in the…”
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