Table_3.xls (5.5 kB)

1,5,10 and 15 step ahead prediction Mean Squared Error for the Linear Predictor Classifier.

Name: 1,5,10 and 15 step ahead prediction Mean Squared Error for the Linear Predictor Classifier.
Published: 2014-08-29T02:43:33+00:00
License: https://creativecommons.org/licenses/by/4.0/
Keywords: novel application, Maximum Drawdown, Spiking Neural Networks, Linear Predictor Coefficients model, IBM stock data, time series, spiking neural network, Polychronous Spiking Network, Brent crude oil, prediction error, Annualised Return, Dynamic Ridge Polynomial, data forecasting, Financial Time Series Prediction, favourable prediction results, time series prediction

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posted on 2014-08-29, 02:43 authored by David Reid, Abir Jaafar Hussain, Hissam Tawfik

1,5,10 and 15 step ahead prediction Mean Squared Error for the Linear Predictor Classifier.

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