An integrated approach to artificial neural network based process modelling
MetadataShow full item record
Despite its successful applications in a number of areas of process modelling and control, unfortunately there are some issues concerning ANN technology that need to be addressed. The insight developed in the dissertation provides an integrated approach to pre-modelling, training and post-modelling stages of ANN models. A systematic framework for the preparation, design, evaluation and implementation of ANN models in process modelling and control for prediction / forecasting in general is developed.
Showing items related by title, author, creator and subject.
Modelling pile capacity and load-settlement behaviour of piles embedded in sand & mixed soils using artificial intelligenceAlkroosh, Iyad Salim Jabor (2011)This thesis presents the development of numerical models which are intended to be used to predict the bearing capacity and the load-settlement behaviour of pile foundations embedded in sand and mixed soils. Two artificial ...
Amiri, Amirpiran (2013)The alumina industry provides the feedstock for aluminium metal production and contributes to around A$6 billion of Australian exports annually. One of the most energy-intensive parts of alumina production, with a strong ...
Fulton, B.; Jones, Tod; Boschetti, F.; Sporcic, M.; De La Mare, W.; Syme, Geoffrey; Dzidic, Peta; Gorton, R.; Little, L.; Dambacher, G.; Chapman, K. (2011)We describe the different types of models we used as part of an effort to inform policy-making aiming at the management of the Ningaloo coast in the Gascoyne region, Western Australia. This provides an overview of how ...