The utilization of neural networks to radiation pattern of microstrip antenna formation

Artificial Neural Networks (ANN) have recently gained attention as a fast and flexible vehicle for microwave modelling, simulation and optimization. This paper provides an overview of the possibility of applying artificial neural networks during the process of shaping the profile (radiation pattern) of microstrip antenna array. Some algorithms based on neural networks are able to accelerate the process at considerable stages by using parallel operations. By appropriate selection of learning data, solution in the time approximate to real is realized. Based on specially implemented in the MATLAB environment algorithm for making artificial neural networks, “Flex Tool” computer simulation was performed.