Neural Computing & Applications

, Volume 13, Issue 1, pp 16–23 | Cite as

The investment acceleration principle revisited by means of a neural network

Original Article
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Abstract

The investment acceleration principle is a heuristic for modelling a investment time series out of a consumption time series. The model presented herein develops a disaggregated accelerator equation whose coefficients are the weights of a Kohonen neural net that represents firms’ decision-making. According to this model, investments take place when managers recognise emerging technological patterns. Furthermore, a technique borrowed from the theory of self-organising systems is used in order to disentangle innovation-driven investments from plant-replication investments.

Keywords

Accelerator Investment Self-organising maps (SOM) 
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Notes

Acknowledgements

This research received financial support from the Consiglio Nazionale delle Ricerche and the Deutsche Forschungsgemeinschaft.

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Copyright information

© Springer-Verlag London Limited 2004

Authors and Affiliations

  1. 1.International Centre for Economic ResearchTurinItaly
  2. 2.Institute for Theoretical Physics and SynergeticsUniversity of StuttgartStuttgartGermany

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