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A novel neural network combined with FDTD for the synthesis of a printed dipole antenna

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2 Author(s)
Delgado, H.J. ; Harris Corp., Melbourne, FL, USA ; Thursby, M.H.

A novel synthesis artificial neural network (SYNTHESIS-ANN) is combined with the finite-difference time-domain method. Practical applications are illustrated through the optimization of a dipole antenna input impedance. The ANN architecture utilizes a hetero-associative memory, which exploits a fault tolerant number representation of a neural network for input and output data. In addition, the number representation reveals significant insight into a new method of fault tolerant computing. A new randomization process for the synthesis of antenna geometrical parameters is presented. Additional work is required to investigate the potential of this new paradigm.

Published in:

Antennas and Propagation, IEEE Transactions on  (Volume:53 ,  Issue: 7 )

Date of Publication:

July 2005

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