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Artificial Neural networks are utilized to predict flow properties of a confined, isothermal, and swirling flowfield in an axisymmetric sudden expansion combustor using a two-component laser Doppler velocimetry capable of measuring the mean velocity components and their statistics. Generalized feedforward, radial basis function, and coactive neuro-fuzzy inference system neural networks are tested...
Development planning of electrical power systems starts with load forecasting. Accurate load planning can be useful in appropriate expansion and development of power plants and transmission and distribution devices. In developing countries, where power demand increases more dynamically, load forecasting is even more important. In this paper, artificial neural network (ANN) is used to predict electric...
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