The investment acceleration principle revisited by means of a neural network

被引:5
作者
Fioretti, G [1 ]
机构
[1] Int Ctr Econ Res, Turin, Italy
[2] Univ Stuttgart, Inst Theoret Phys & Synerget, D-7000 Stuttgart, Germany
关键词
accelerator; investment; self-organising maps (SOM);
D O I
10.1007/s00521-004-0398-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:16 / 23
页数:8
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