Browsing Faculty of Design and Creative Technologies (Te Ara Auaha) by Author "Widiputra, H"
Now showing items 1-4 of 4
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A novel evolving clustering algorithm with polynomial regression for chaotic time-series prediction
Widiputra, H; Kho, H; Lukas; Pears, R; Kasabov, N (Springer Berlin Heidelberg, 2009)Time-series prediction has been a very well researched topic in recent studies. Some popular approaches to this problem are the traditional statistical methods e.g. multiple linear regression and moving average, and neural ... -
Dynamic Interaction Networks in modelling and predicting the behaviour of multiple interactive stock markets
Widiputra, H; Pears, R; Serguieva, A; Kasabov, N (John Wiley & Sons, 2009)The behaviour of multiple stock markets can be described within the framework of complex dynamic systems. A representative technique of the framework is the dynamic interaction network (DIN), recently developed in the ... -
Evolving integrated multi-model framework for on line multiple time series prediction
Pears, R; Widiputra, H; Kasabov, N (Springer, 2013)Time series prediction has been extensively researched in both the statistical and computational intelligence literature with robust methods being developed that can be applied across any given application domain. A much ... -
Personalised modelling for multiple time-series data prediction
Widiputra, H; Pears, R; Kasabov, N (Springer-Verlag, 2008)The behaviour of multiple stock markets can be described within the framework of complex dynamic systems (CDS). Using a global model with the Kalman Filter we are able to extract the dynamic interaction network (DIN) of ...