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Uncertainty is known to be a concomitant factor of almost all the real world commodities such as oil prices, stock prices, sales and demand of products. As a consequence, forecasting problems are becoming more and more challenging and ridden with uncertainty. Such uncertainties are generally quantified by statistical tools such as prediction intervals (Pis). Pis quantify the uncertainty related to...
Extreme learning machines (ELMs) for generalized single-hidden-layer feedforward networks which perform well in both regression and classification applications have caused a lot of attention. To obtain compact network architecture with better generalization performance, an improved ELM with adaptive growth of hidden nodes (AG-ELM) combined with particle swarm optimization (PSO) is proposed in this...
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