Design of multiple function antenna array using radial basis function neural network

Design of multiple function antenna array using radial basis function neural network

Blog Article

A novel approach to design Multiple Function Antenna (MFA) arrays using Artificial Neural Networks is Resilience-Improving Based Optimization of Post-Disaster Emergency Maintenance Strategy for Transmission Networks suggested.A planar array with uniform current excitations which can generate different beam widths and gains is designed using Artificial Neural Networks.The desired beam width, gain and number of elements are An inexact multiple-recourse hybrid-fuel management model with considering carbon reduction requirement for a biofuel-penetrated heating system given as input to the neural network.

The output of the neural network is the current excitations in the form ON/OFF state of the array.Radial Basis Function Neural Network (RBFNN) is initially trained with the input-output data pairs and tested.The network showed 98% high success rate.