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
In this paper we present a modified neural network architecture and an algorithm that enables neural...
International audienceIn this methodological work I explore the possibility of explicitly modelling ...
The fundamental hypothesis of this paper is that certain trends exist in stock market data that, if ...
The investment acceleration principle is a heuristic for modelling investment time series out of con...
This model focuses on the decision to invest in novel fields of activity. Making such decisions impl...
AbstractA research purpose is to modify the model of artificial neural network (ANN) to undertakings...
A General Equilibrium model of investment is constructed in which the pay-offs of firms depend on ea...
Artificial neural networks are a robust, effective complement to traditional statistical methods in ...
In macro investment, an investment decision model is established by using an improved back propagati...
The identification of specific patterns in stock price derived from technical stock analysis heurist...
The experiment performed showed that predicting stock movements accurately with a neural networks is...
In this paper we show as the neural network methodology, coupled with the Least Squares Monte Carlo ...
Neural networks are a computing paradigm developed from artificial intelligence and brain modelling’...
Non-linear modelling techniques are the subject of increasing interest in innovation economics, with...
Abstract—This paper describes a neural system which helps to make the current investment decisions. ...
In this paper we present a modified neural network architecture and an algorithm that enables neural...
International audienceIn this methodological work I explore the possibility of explicitly modelling ...
The fundamental hypothesis of this paper is that certain trends exist in stock market data that, if ...
The investment acceleration principle is a heuristic for modelling investment time series out of con...
This model focuses on the decision to invest in novel fields of activity. Making such decisions impl...
AbstractA research purpose is to modify the model of artificial neural network (ANN) to undertakings...
A General Equilibrium model of investment is constructed in which the pay-offs of firms depend on ea...
Artificial neural networks are a robust, effective complement to traditional statistical methods in ...
In macro investment, an investment decision model is established by using an improved back propagati...
The identification of specific patterns in stock price derived from technical stock analysis heurist...
The experiment performed showed that predicting stock movements accurately with a neural networks is...
In this paper we show as the neural network methodology, coupled with the Least Squares Monte Carlo ...
Neural networks are a computing paradigm developed from artificial intelligence and brain modelling’...
Non-linear modelling techniques are the subject of increasing interest in innovation economics, with...
Abstract—This paper describes a neural system which helps to make the current investment decisions. ...
In this paper we present a modified neural network architecture and an algorithm that enables neural...
International audienceIn this methodological work I explore the possibility of explicitly modelling ...
The fundamental hypothesis of this paper is that certain trends exist in stock market data that, if ...