Fuzzy adaptive neural network approach to path loss prediction in urban areas at GSM-900 band

  title={Fuzzy adaptive neural network approach to path loss prediction in urban areas at GSM-900 band},
  author={T{\"u}rkan Erbay Dalkiliç and Berna Yeşim HANCI and Aysen Apaydin},
This paper presents the results of the Adaptive-Network Based Fuzzy Inference System (ANFIS) for the prediction of path loss in a specific urban environment. A new algorithm based ANFIS for tuning the path loss model is introduced in this work. The performance of the path loss model which is obtained from proposed algorithm is compared to the Bertoni-Walfisch model, which is one of the best studied for propagation analysis involving buildings. This comparison is based on the mean square error… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 23 references

Fuzzy identification of systems and its applications to modeling and control

IEEE Transactions on Systems, Man, and Cybernetics • 1985
View 3 Excerpts
Highly Influenced

Comparison of 900 and 1800 MHz Indoor Propagation Deterioration

IEEE Transactions on Antennas and Propagation • 2006
View 1 Excerpt

Comparison of neural network models for path loss prediction

WiMob'2005), IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, 2005. • 2005
View 1 Excerpt

Range-dependent Path-Loss model in residential areas for the VHF and UHF bands

H. K. Chung, H. L. Bertoni
IEEE transaction on Antennas and Propagation, Vol. 50, No. 1, pp. 1-11 • 2002
View 1 Excerpt

Switching regression analysis by fuzzy adaptive network

European Journal of Operational Research • 2001
View 1 Excerpt

Applying fuzzy adaptive network to fuzzy regression analysis

C. Chi-Bin, E. S. Lee
An International Journal Computers & Mathematics with Applications, • 1999
View 2 Excerpts

Similar Papers

Loading similar papers…