Artificial Neural Networks (ANNs).

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Rop KV, KONDITI DBO, H.A. O, Musyoki S. "Parameter Optimization in Design of a Rectangular Microstrip Patch Antenna Using Adaptive Neuro-Fuzzy Inference System Technique." International Journal of Technical and Physical Problems of Engineering (IJTPE). 2012;4(12):16-23. Abstract

Modern wireless systems are placing greater
emphasis on antenna designs for future development in
communication technology because the antenna is a key
element in the overall communication system. A
Microstrip Antenna is well suited for wireless
communication due to its light weight, low volume and
low profile planar configuration which can be easily
conformed to the host surface. In this paper, an
optimization method based on adaptive neuro-fuzzy
inference system (ANFIS) for determining the parameters
used in the design of a rectangular microstrip patch
antenna is presented. The ANFIS has the advantages of
expert knowledge of fuzzy inference system (FIS) and the
learning capability of artificial neural network (ANN). By
calculating and optimizing the patch dimensions and the
feed point of a rectangular microstrip antenna, this paper
shows that ANFIS produces good results that are in
agreement with Ansoft HFSS 13.0 simulation results.

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