Analyzing and forecasting the global CO2 concentration – a collaborative fuzzy–neural agent network approach

Author:

Chen T.

Publisher

Universidad Nacional Autonoma de Mexico

Subject

General Engineering

Reference26 articles.

1. Estimation of virtual water using support vector machine, K-nearest neighbour, and radial basis function neural network models;Ahmadaali;Int. J. Agronomy Plant Production,2013

2. Dimension Estimation of Rectangular Cracks Using Impedance Changes of the Eddy Current Probe with a Neural Network;Babaei;Journal of Applied Research and Technology,2013

3. Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP;Bhattacharya;European Journal of Operational Research,2007

4. A SOM-FBPN-ensemble approach with error feedback to adjust classification for wafer-lot completion time prediction;Chen;The International Journal of Advanced Manufacturing Technology,2008

5. A collaborative fuzzy-neural system for global CO2 concentration forecasting;Chen;International Journal of Innovative Computing, Information and Control,2012

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