Bhynhyaby transmission tower via genetic algorithms and neural networks

Transmission Towers and important components of the main transmission lines are In Brqrsany play an important role. The power transmission tower The conductor held responsible in a certain distance from the earth, must Able to withstand the mechanical forces imposed on itself in the worst circumstances And climate are. Considering the multiplicity of members and high cost structures Each, both in terms of materials and performance, they can be highly optimized Is important. These structures, usually under the combined loadings of Been numerous and optimization process faced with numerous analysis Will. In this report the use of genetic algorithms for optimization Was. One of the problems in the use of genetic algorithms for Bhynhyaby Bhazay structures that should per string, each generation of a Program analyst to do the calculation. Such a matter requires Matrices is Mkvssazy. Was seen in the tower of Zyadshdn Members and geometry in the absence of mast Bhynhyaby also be onsidered, the convergence Method is very slow. In these conditions the combination of neural networks and algorithms Genetics has been used. Thus the task of analyzing part of the mast Bhhdhy network. Using genetic networks along the convergence speed Remained very high. Genetic algorithms also selected Chndjmyty Is. Abstract The purpose of this article generally the effect of applying the network and not using it and Compare the impact of genetics is Chndjmyty.