Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network R Ghazali, AJ Hussain, NM Nawi, B Mohamad Neurocomputing 72 (10-12), 2359-2367, 2009 | 95 | 2009 |

Soft set theoretic approach for dimensionality reduction T Herawan, ANM Rose, MM Deris International Conference on Database Theory and Application, 171-178, 2009 | 79 | 2009 |

Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals R Ghazali, AJ Hussain, P Liatsis Expert Systems with Applications 38 (4), 3765-3776, 2011 | 73 | 2011 |

An improved back propagation neural network algorithm on classification problems NM Nawi, RS Ransing, MNM Salleh, R Ghazali, NA Hamid Database Theory and Application, Bio-Science and Bio-Technology, 177-188, 2010 | 60 | 2010 |

Using artificial bee colony algorithm for MLP training on earthquake time series data prediction H Shah, R Ghazali, NM Nawi arXiv preprint arXiv:1112.4628, 2011 | 45 | 2011 |

A survey on bug prioritization J Uddin, R Ghazali, MM Deris, R Naseem, H Shah Artificial Intelligence Review 47 (2), 145-180, 2017 | 44 | 2017 |

Application of ridge polynomial neural networks to financial time series prediction R Ghazali, A Hussain, W El-Deredy The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 44 | 2006 |

Accelerating learning performance of back propagation algorithm by using adaptive gain together with adaptive momentum and adaptive learning rate on classification problems NA Hamid, NM Nawi, R Ghazali, MNM Salleh International Conference on Ubiquitous Computing and Multimedia Applications …, 2011 | 40 | 2011 |

The development of improved back-propagation neural networks algorithm for predicting patients with heart disease NM Nawi, R Ghazali, MNM Salleh international conference on information computing and applications, 317-324, 2010 | 40 | 2010 |

Rough set approach for categorical data clustering T Herawan Universiti Tun Hussein Onn Malaysia, 2010 | 39 | 2010 |

The application of ridge polynomial neural network to multi-step ahead financial time series prediction R Ghazali, AJ Hussain, P Liatsis, H Tawfik Neural Computing and Applications 17 (3), 311-323, 2008 | 34 | 2008 |

Time series prediction using dynamic ridge polynomial neural networks R Ghazali, AJ Hussain, D Al-Jumeily, P Lisboa 2009 second international conference on developments in Esystems Engineering …, 2009 | 33 | 2009 |

Prediction of earthquake magnitude by an improved ABC-MLP H Shah, R Ghazali 2011 Developments in E-systems Engineering, 312-317, 2011 | 32 | 2011 |

Jordan pi-sigma neural network for temperature prediction NA Husaini, R Ghazali, NM Nawi, LH Ismail International Conference on Ubiquitous Computing and Multimedia Applications …, 2011 | 25 | 2011 |

Dynamic ridge polynomial neural networks in exchange rates time series forecasting R Ghazali, AJ Hussain, D Al-Jumeily, M Merabti International Conference on Adaptive and Natural Computing Algorithms, 123-132, 2007 | 24 | 2007 |

Higher order neural networks for financial time series prediction R Ghazali PQDT-UK & Ireland, 2007 | 23 | 2007 |

Hybrid ant bee colony algorithm for volcano temperature prediction H Shah, R Ghazali, NM Nawi International Multi Topic Conference, 453-465, 2012 | 22 | 2012 |

Studying the effect of adaptive momentum in improving the accuracy of gradient descent back propagation algorithm on classification problems MZ Rehman, NM Nawi International Journal of Modern Physics: Conference Series 9, 432-439, 2012 | 22 | 2012 |

The effect of adaptive gain and adaptive momentum in improving training time of gradient descent back propagation algorithm on classification problems N Abdul Hamid, N Mohd Nawi, R Ghazali | 21 | 2011 |

A quick gbest guided artificial bee colony algorithm for stock market prices prediction H Shah, N Tairan, H Garg, R Ghazali Symmetry 10 (7), 292, 2018 | 20 | 2018 |