2020
DOI: 10.14569/ijacsa.2020.0110337
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A Modified Weight Optimization for Artificial Higher Order Neural Networks in Physical Time Series

Abstract: Many methods and approaches have been proposed for analyzing and forecasting time series data. There are different Neural Network (NN) variations for specific tasks (e.g., Deep Learning, Recurrent Neural Networks, etc.). Time series forecasting are a crucial component of many important applications, from stock markets to energy load forecasts. Recently, Swarm Intelligence (SI) techniques including Cuckoo Search (CS) have been established as one of the most practical approaches in optimizing parameters for time… Show more

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