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MULTILAYER PERCEPTRONS AS APPROXIMATIONS TO PROBABILITY DENSITY FUNCTIONS IN TIME SERIES FORECASTING

100%

Morajda J.

Przegląd Statystyczny

2007

tom 54

nr 1

20-33

The paper presents the method of utilisation of multilayer perceptron neural networks to probability densiity function approximation in the problem of time series forecasting. The theoretical background has been given and the specification of neural prediction model, which generates the probability distribution of the forecasted variable in the issue of financial time series predicition, has been described. Next, the research concerning the performance of such model designed for the forecasting of the Polish stock index WIG has been discussed. Two versions of the model have been applied: first - comprised of 12 perceptron networks with single output each, second - based on one network with 12 outputs. Three test cases (for subsequent stock exchange sessions ) have been analysed. Obtained probability distributions are somewhat similar to empirical distribution (achieved for model development data), but they clearly indicate predicted tendency of index change and show specific uncertainty of the forecast.

VYUŽITIE SOFTBOTOV NA KULTIVÁCIU EKONOMICKÝCH VEDOMOSTÍ

63%

Andrášik L.

Ekonomický časopis (Journal of Economics)

2014

tom 62

nr 8

861 – 881

The complex phenomena in a global knowledge-based society and economy are causing difficulties in understanding by conventional modes. The economists should consequently analyse new phenomena. They need to build new theories and disseminating them to wide community. New results in cognitive sciences and progressing ICT, advances in applied informatics and computational intelligence there are arising new opportunities for a dialogue with mental models and theories in the economic sciences. In economics the creation of virtual laboratories and of simulation experimentation with them is useful, for the author uses name “Economic Softbot”. He refers to the dialogue with such softbots as storytelling. The topic of the essay belongs to the class of emergent research/education/learning technologies. Their innovative power is in the dominance of constructive upon instructive approaches and based on holistic qualitative perception of the various complexities.