Rozaida Ghazali

According to our database1, Rozaida Ghazali authored at least 78 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
A novel error-output recurrent neural network model for time series forecasting.
Neural Comput. Appl., 2020

Training Functional Link Neural Network with Ant Lion Optimizer.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020

Residual Neural Network Vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020

2019
An Enhanced Approach of Artificial Bee Colony for Energy Management in Energy Efficient Residential Building.
Wirel. Pers. Commun., 2019

Using improved firefly algorithm based on genetic algorithm crossover operator for solving optimization problems.
J. Intell. Fuzzy Syst., 2019

Predicting Crude Oil Price Using Fuzzy Rough Set and Bio-Inspired Negative Selection Algorithm.
Int. J. Swarm Intell. Res., 2019

Global Artificial Bee Colony Search Algorithm for Data Clustering.
Int. J. Swarm Intell. Res., 2019

Forecasting the Behavior of Gas Furnace Multivariate Time Series Using Ridge Polynomial Based Neural Network Models.
Int. J. Interact. Multim. Artif. Intell., 2019

Hybrid of firefly algorithm and pattern search for solving optimization problems.
Evol. Intell., 2019

A new genetically optimized tensor product functional link neural network: an application to the daily exchange rate forecasting.
Evol. Intell., 2019

2018
A Quick Gbest Guided Artificial Bee Colony Algorithm for Stock Market Prices Prediction.
Symmetry, 2018

Functional Expansions Based Multilayer Perceptron Neural Network for Classification Task.
Computación y Sistemas, 2018

Global Gbest Guided-Artificial Bee Colony Algorithm for Numerical Function Optimization.
Comput., 2018

Dynamic ridge polynomial neural network with Lyapunov function for time series forecasting.
Appl. Intell., 2018

An Improved Hybrid Firefly Algorithm for Solving Optimization Problems.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018

Fibonacci Polynomials Based Functional Link Neural Network for Classification Tasks.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018

Forecasting Natural Events Using Axonal Delay.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Functional Link Neural Network with Modified Artificial Bee Colony for Data Classification.
Int. J. Intell. Inf. Technol., 2017

Content-based SMS Classification: Statistical Analysis for the Relationship between Features Size and Classification Performance.
Computación y Sistemas, 2017

A survey on bug prioritization.
Artif. Intell. Rev., 2017

2016
Extracting Information in Agricultural Data Using Fuzzy-Rough Sets Hybridization and Clonal Selection Theory Inspired Algorithms.
Int. J. Pattern Recognit. Artif. Intell., 2016

Mammographic Mass Classification Using Functional Link Neural Network with Modified Bee Firefly Algorithm.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Multi-step Time Series Forecasting Using Ridge Polynomial Neural Network with Error-Output Feedbacks.
Proceedings of the Soft Computing in Data Science - Second International Conference, 2016

Time Series Forecasting Using Ridge Polynomial Neural Network with Error Feedback.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

Does Number of Clusters Effect the Purity and Entropy of Clustering?
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

A New Multi Objective Optimization to Improve Growth Domestic Produce of Economic Using Metaheuristic Approaches: Case Study of Iraq Economic.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

Utilizing Clonal Selection Theory Inspired Algorithms and K-Means Clustering for Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

Chebyshev Multilayer Perceptron Neural Network with Levenberg Marquardt-Back Propagation Learning for Classification Tasks.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification Task.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

Training ANFIS Using Catfish-Particle Swarm Optimization for Classification.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

2015
An Efficient Multi Join Query Optimization for Relational Database Management System Using Two Phase Artificial Bess Colony Algorithm.
Proceedings of the Advances in Visual Informatics, 2015

Orchestrating Real-Valued Negative Selection Algorithm with Computational Efficiency for Crude Oil Price.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Content-based SMS spam filtering based on the Scaled Conjugate Gradient backpropagation algorithm.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Knowledge extraction of agricultural data using artificial immune system.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

An Efficient Bio-inspired Bees Colony for Breast Cancer Prediction.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

2014
Pi-Sigma Neural Network for a One-Step-Ahead temperature Forecasting.
Int. J. Comput. Intell. Appl., 2014

Honey Bees Inspired Learning Algorithm: Nature Intelligence Can Predict Natural Disaster.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014

Comparative Performance Analysis of Negative Selection Algorithm with Immune and Classification Algorithms.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014

A Jordan Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat Region.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014

Implementation of Modified Cuckoo Search Algorithm on Functional Link Neural Network for Climate Change Prediction via Temperature and Ozone Data.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014

The performance of a Recurrent HONN for temperature time series prediction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Hybrid Guided Artificial Bee Colony Algorithm for Numerical Function Optimization.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

An Improved Gbest Guided Artificial Bee Colony (IGGABC) Algorithm for Classification and Prediction Tasks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Prediction of Physical Time Series Using Spiking Neural Networks.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

Functional Link Neural Network with Modified Cuckoo Search Training Algorithm for Physical Time Series Forecasting.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

Spatial Control of Post-earthquake Market Based on Paseduluran.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Mining Indirect Least Association Rule from Students' Examination Datasets.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Cauchy criterion for the Henstock-Kurzweil integrability of fuzzy number-valued functions.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

2013
An improved functional link neural network learning using artificial bee colony optimisation for time series prediction.
Int. J. Bus. Intell. Data Min., 2013

Global Artificial Bee Colony-Levenberq-Marquardt (GABC-LM) Algorithm for Classification.
Int. J. Appl. Evol. Comput., 2013

Solving a classification task using Functional Link Neural Networks with modified Artificial Bee Colony.
Proceedings of the Ninth International Conference on Natural Computation, 2013

Functional Link Neural Network - Artificial Bee Colony for Time Series Temperature Prediction.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

Negative Selection Algorithm: A Survey on the Epistemology of Generating Detectors.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

A Modified Artificial Bee Colony Optimization for Functional Link Neural Network Training.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

Implementation of Modified Cuckoo Search Algorithm on Functional Link Neural Network for Temperature and Relative Humidity Prediction.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

Global Artificial Bee Colony Algorithm for Boolean Function Classification.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
G-HABC Algorithm for Training Artificial Neural Networks.
Int. J. Appl. Metaheuristic Comput., 2012

Training a Functional Link Neural Network Using an Artificial Bee Colony for Solving a Classification Problems
CoRR, 2012

Global Hybrid Ant Bee Colony Algorithm for Training Artificial Neural Networks.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

2011
Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals.
Expert Syst. Appl., 2011

Using Artificial Bee Colony Algorithm for MLP Training on Earthquake Time Series Data Prediction
CoRR, 2011

Jordan Pi-Sigma Neural Network for Temperature Prediction.
Proceedings of the Ubiquitous Computing and Multimedia Applications, 2011

Accelerating Learning Performance of Back Propagation Algorithm by Using Adaptive Gain Together with Adaptive Momentum and Adaptive Learning Rate on Classification Problems.
Proceedings of the Ubiquitous Computing and Multimedia Applications, 2011

Temperature forecasting with a dynamic higher-order neural network model.
Proceedings of the iiWAS'2011, 2011

The wavelet multilayer perceptron for the prediction of earthquake time series data.
Proceedings of the iiWAS'2011, 2011

Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat.
Proceedings of the Software Engineering and Computer Systems, 2011

Learning Efficiency Improvement of Back Propagation Algorithm by Adaptively Changing Gain Parameter together with Momentum and Learning Rate.
Proceedings of the Software Engineering and Computer Systems, 2011

Prediction of Earthquake Magnitude by an Improved ABC-MLP.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

2010
The Development of Improved Back-Propagation Neural Networks Algorithm for Predicting Patients with Heart Disease.
Proceedings of the Information Computing and Applications - First International Conference, 2010

An Improved Back Propagation Neural Network Algorithm on Classification Problems.
Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2010

2009
Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network.
Neurocomputing, 2009

2008
The application of ridge polynomial neural network to multi-step ahead financial time series prediction.
Neural Comput. Appl., 2008

Dynamic Ridge Polynomial Neural Networks for multi-step financial time-series prediction.
Int. J. Intell. Syst. Technol. Appl., 2008

Application of Polynomial Neural Networks to Exchange Rate Forecasting.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

2007
Higher order neural networks for financial time series prediction.
PhD thesis, 2007

Dynamic Ridge Polynomial Neural Networks in Exchange Rates Time Series Forecasting.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2006

Higher order neural networks and their applications to financial time series prediction.
Proceedings of the Artificial Intelligence and Soft Computing, 2006


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