Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility

Ahmed A. Ewees; Mohamed Abd Elaziz; Zakaria Alameer; Haiwang Ye; Jianhua Zhang

doi:10.1016/j.resourpol.2019.101555

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Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility

Ahmed A. Ewees Mohamed Abd Elaziz Zakaria Alameer Haiwang Ye Jianhua Zhang

Year: 2019 Journal: Resources Policy Vol: 65 Pages: 101555-101555 Publisher: Elsevier BV

DOI: 10.1016/j.resourpol.2019.101555

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Keywords:

Particle swarm optimization Artificial neural network Computer science Chaotic Volatility (finance) Grasshopper Genetic algorithm Algorithm Optimization algorithm Multilayer perceptron Artificial intelligence Mathematical optimization Data mining Machine learning Econometrics Mathematics Ecology

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Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Market Dynamics and Volatility

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility

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