Browsing by Subject "Neural networks"
Now showing items 1-6 of 6
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The application of signal processing and artificial intelligence techniques in the condition monitoring of rotating machinery
(North-West University, 2003)Condition monitoring of critical machinery has many economic benefits. The primary objective is to detect faults, for example on rolling element bearings, at an early stage to take corrective action prior to the catastrophic ... -
Combining empirical mode decomposition with neural networks for the prediction of exchange rates
(2014)The foreign exchange market is one of the largest and most active financial markets with enormous daily trading volumes. Exchange rates are influenced by the interactions of a large number of agents, each operating with ... -
Data mining: a technique used to extract information from tan delta measurements on medium voltage induction motors
(IEEE, 2007)The study attempted to understand the condition of the insulation system and to classify the data according to its condition. Data mining processes were used to gain insight into the data and the condition of the insulation ... -
Establishing the protocol validity of an electronic standardised measuring instrument
(North-West University, 2009)Over the past few decades, the nature of work has undergone remarkable changes, resulting in a shift from manual demands to mental and emotional demands on employees. In order to manage these demands and optimise employee ... -
Exploring neural network training dynamics through binary node activations
(Southern African Conference for Artificial Intelligence Research, 2020)Each node in a neural network is trained to activate for a specific region in the input domain. Any training samples that fall within this domain are therefore implicitly clustered together. Recent work has highlighted ... -
An investigation into the use of combined linear and neural network models for time series data
(North-West University, 2009)Time series forecasting is an important area of forecasting in which past observations of the same variable are collected and analyzed to develop a model describing the underlying relationship. The model is then used to ...
