F Frost

Application of General Regression Neural Network for Estimation and Control in a Dynamic Industry Environment

Incorporating Operations Research Techniques to Maximise Economic Benefit of Neural Network Modelling

Selection of significant process parameters, in producing, using general regression neural networks

Intelligent Control of Aluminium Reduction Cells using Backpropagation Neural Networks

Combined Kohonen and RBF Networks to Predict Electrolyte Additives in Hall-Heroult Cell

Selecting Intelligent Tools for Maintenance and Control of aluminum Reduction Cells

Productavity Improvements through Prediction of Electrolite Temperature in Aluminium Reduction Clell Using BP Neural Network

Behaviour of 601-Alloy using Two Different Solution Treatment Method: Part I - Mechanical Properties

Behaviour of 601-Alloy using Two Different Solution Treatment Methods: Machining Characteristics

An Intelligent Ssystem for Detection of Failed Aluminium Wheels