4. Feedforward Neural Model Output lines Hidden layer Input lines

7. ANN Model for Resonant Frequency Rectangular Patch Antenna

9. Bandwidth of Patch Antenna Rectangular Patch Antenna

12. Demand Node Concept Demand Node Concept

13. Geographical map Land use categories interference distance Stochastic channel characteristics Input Step Output Mobile network Morphology model Estimated t x location Radio network definition Propagation analysis Frequency allocation Radio network analysis Coverage Freq plan Network performance

15. Adaptation E 1 =Energy of current system State z 1 Determine transmitting Station t worst Change position Determine supplying areas Change Power Displace T N Y

16. Optimization E 2 =Energy of current System state z 2 Choose random Number r P:=prob(z new =z p ) Regenerate state Z 1 Reduce temperature P<r ? E 1— e 2 <0 ? Steady state System ? Y N Y N N End Y

17. D1 D2 D3 D4 D5 D6 Displacement:Case Of Attraction Base station Sensory neuron Area of coverage

18. Borders of supplying areas . Sensory neurons Base station locations BEFORE AFTER Displacement:Case Of Repulsion

19. Borders of the supplying areas . Sensory neurons. Base station locations BEFORE AFTER Power Enhancement

20. Sensory neurons Borders of the supplying areas Base station Before After Power Decrement

23. REFERENCES [1]Haykin, S., 1999.Neural Networks A Comprehensive Foundation, 2nd edition, Pearson Education. [2]Freeman James A. & Skapura David M., Neural Networks, Pearson Education. [3]Yuhas, Ben & Ansari Nerman. Neural Networks in Telecommunications. [4]B.Yegnanarayana. 1999.Artificial Neural Networks. Prentice Hall of India. [5]G.A. Carpenter and S.Grossberg, ‘The ART of adaptive pattern recognition by a self-organization neural network’, IEEE Computer, vol. 21, pp. 77-88, 1988. [6]N.K. Bose and P.Liang, Neural Network Fundamentals with Graphs, Algorithms and Applications,McGraw-Hill,Int.

24. Thank You