Browsing by Subject "Artificial neural network"
Now showing items 1-8 of 8
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Combining empirical mode decomposition with neural networks for the prediction of exchange rates
(SCITEPRESS (Science and Technology Publications, Lda.), 2014)This paper proposes a neural network based model applied to empirical mode decomposition (EMD) filtered data for multi-step-ahead prediction of exchange rates. EMD is used to decompose the returns of exchange rates into ... -
Comparing generalized additive neural networks with multilayer perceptrons
(North-West University, 2011)In this dissertation, generalized additive neural networks (GANNs) and multilayer perceptrons (MLPs) are studied and compared as prediction techniques. MLPs are the most widely used type of artificial neural network (ANN), ... -
Empirical temperature modelling for fresh produce logistics during transit in southern Africa
(North-West University (South Africa) , Potchefstroom Campus, 2017)The need to constantly ameliorate Cold Chain Logistics (CCL) can no longer be ignored. This industry has grown in size with significant positive impact on the GDP of economies globally. Amidst great opportunities vested ... -
A hybrid system for condition based maintenance in nuclear power plants
(North-West University (South Africa), 2020)Condition-based maintenance (CBM) involves undertaking maintenance activities based on the health of the system. Establishing a CBM regime in an industry will result in eliminating unnecessary maintenance cost without ... -
Hydrocyclone cut-size estimation using artificial neural networks
(Elsevier, 2016)The hydrocyclone is widely used throughout the mineral processing industry when working with slurries. It is either used for classifying, desliming or dewatering. Hydrocyclones are inexpensive, application-efficient and ... -
Prediction model for the performance of a methane-fuelled spark-ignition engine at a deeplevel mine
(North-West University (South Africa)., 2022)Electrical energy supply in South Africa is unreliable and the cost of electricity has been increasing significantly annually. This negatively impacts high energy consumers, especially deep-level mines. Therefore, reducing ... -
Sample positioning in neutron diffraction experiments using a multi-material fiducial marker
(Elsevier, 2017)An alternative sample positioning method is reported for use in conjunction with sample positioning and experiment planning software systems deployed on some neutron diffraction strain scanners. In this approach, the ... -
Statistical modelling of an ammonium nitrate fluidised bed granulator for inference measurement
(Elsevier, 2019)Fluidised bed granulation is a widely used wet granulation technique. The operation of a fluidised bed granulator (FBG) as well as the quality of the product is strongly influenced by multiple process variables and ...