Applying Ensemble Learning Techniques to ANFIS for Air Pollution Index Prediction in Macau

Author:

Lei Kin Seng,Wan Feng

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Boznar, M., Lesjack, M., Mlakar, P.: A neural network based method for short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex Terrain. Atmospheric Environment 270B (2), 221–230 (1993)

2. Mok, K.M., Tam, S.C., Yan, P., Lam, L.H.: A neural network forecasting system for daily air quality index in Macau. In: Air Pollution VII, C.A (2000)

3. Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst., Man, Cybern. 15, 116–132 (1985)

4. Jang, J.S.: ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Trans. Syst., Man, Cybern. 23, 665–683 (1993)

5. Jang, J.–S.R.: Neuro-fuzzy and soft computing a computational approach to learning and machine intelligence, pp. 335–422. Prentice Hall, Upper Saddle River (1997)

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