Automated Neural Network Structure Determination via Discrete Particle Swarm Optimization (for Non-Linear Time Series Models)

Abstract

Due to their universal function approximation capability, artificial neural networks have enjoyed widespread use from research and engineering, to finance and banking applications. However, there are two barriers to their acceptance as mainstream data mining tools: 1) the trial-and-error nature of designing the optimal structure, suitable for a particular… (More)

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