Resumen

CHEN, T.. Analyzing and forecasting the global CO₂ concentration - a collaborative fuzzy-neural agent network approach. J. appl. res. technol [online]. 2015, vol.13, n.3, pp.364-373. ISSN 2448-6736.

In order to effectively analyze and forecast the global CO₂ concentration, a collaborative fuzzy-neural agent network is constructed in this study. In the collaborative fuzzy-neural agent network, a group of autonomous agents is used. These agents are programmed to analyze and forecast the global CO₂ concentration using the fuzzy back propagation network (FBPN) approach based on their local views. A collaboration mechanism is established to communicate the settings and forecasts of these agents, and to derive a single representative value from these forecasts using a radial basis function network. The real data were used to evaluate the effectiveness of the collaborative fuzzy-neural agent network approach.

Palabras llave : Global CO₂ concentration; Forecast; Collaborative intelligence; Agent; Fuzzy-neural network; Goal programming.

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