Financial time series prediction using polynomial pipelined neural networks

Abir Hussain; Adam Knowles; Paulo Lisböa; Wael El‐Deredy

doi:10.1016/j.eswa.2007.08.038

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Financial time series prediction using polynomial pipelined neural networks

Abir Hussain Adam Knowles Paulo Lisböa Wael El‐Deredy

Year: 2007 Journal: Expert Systems with Applications Vol: 35 (3)Pages: 1186-1199 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2007.08.038

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Keywords:

Artificial neural network Computer science Polynomial Set (abstract data type) Series (stratigraphy) Nonlinear system Time series Algorithm Divide and conquer algorithms Noise (video) Data set Artificial intelligence Machine learning Mathematics

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Financial time series prediction using polynomial pipelined neural networks

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