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Journal of applied research and technology
On-line version ISSN 2448-6736Print version ISSN 1665-6423
Abstract
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.
Keywords : Global CO2 concentration; Forecast; Collaborative intelligence; Agent; Fuzzy-neural network; Goal programming.