Improving data based nonlinear process modelling through Bayesian combination of multiple neural networks. - Zainal Ahmad; Jie Zhang 005 (IJCNN, 2003)

Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling. - Zainal Ahmad; Jie Zhang 005 (Comput. Chem. Eng., 2005)

Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling. - Zainal Ahmad; Jie Zhang 005 (Neural Comput. Appl., 2005)

A Nonlinear Model Predictive Control Strategy Using Multiple Neural Network Models. - Zainal Ahmad; Jie Zhang 005 (ISNN (2), 2006)

Improving Multi Step-Ahead Model Prediction through Backward Elimination Method in Multiple Neural Networks Combination. - Zainal Ahmad; Rabiatul Adawiah Mat Noor (ICONIP (2), 2008)

Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination. - Zainal Ahmad; Jie Zhang 005 (Neurocomputing, 2009)

Multiple Input-Single Output (MISO) Feedforward Artificial Neural Network (FANN) Models for Pilot Plant Binary Distillation Column. - Z. Abdullah; Zainal Ahmad; N. Aziz (BIC-TA, 2011)

Feedforward artificial neural network to improve model predictive control in biological processes. - Senthil Kumar Arumugasamy; Zainal Ahmad (Int. J. Autom. Control., 2011)

Modeling of Polycaprolactone Production from ε-Caprolactone Using Neural Network. - Senthil Kumar Arumugasamy; Mohamad Hekarl Uzir; Zainal Ahmad (ICONIP (2), 2012)

Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution prediction. - Danny Hartanto Djarum; Zainal Ahmad; Jie Zhang 005 (Appl. Soft Comput., 2023)