发表机构
Universität Stuttgart; Institute for Theoretical Physics and Synergetics; International Centre for Economic Research（斯图加特大学; 理论物理与协同论研究所; 国际经济研究中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文利用Kohonen神经网络构建分解加速方程，以消费序列建模投资，识别新兴技术模式触发投资，并区分创新驱动与工厂复制投资。
AI 中文摘要
投资加速原理是一种启发式方法，用于根据消费时间序列对投资时间序列进行建模。本文提出的模型发展了一个分解的加速方程，其系数是代表企业决策的Kohonen神经网络的权重。根据该模型，当管理者识别出新兴技术模式时，投资就会发生。此外，借用自自组织系统理论的一种技术被用来将创新驱动的投资与工厂复制投资区分开来。
英文摘要
The investment acceleration principle is a heuristic for modelling investment time series out of 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.
Comments7 pages, 10 figures, post-print
Journal refNeural Computing and Applications, 2004, 13 (1): 16-23
