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What is Back Propagation Network

Chapter 20
Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization
It is a method used in artificial neural networks to calculate a gradient that is needed in the calculation of the weights to be used in the network.
Published in Chapter:
Designing and Analysis of Antenna Using Back Propagation Network
Rajeev Kumar (Lovely Professional University, India), Ritu Vijay (Banasthali Vidyapith University, India), and Surjit Singh (Thapar Institute of Engineering and Technology, India)
Copyright: © 2019 |Pages: 38
DOI: 10.4018/978-1-5225-7335-7.ch020
Abstract
This chapter deals with the designing of an antenna using computational intelligence algorithm (i.e., ANN). An artificial neural network (ANNs) based on back propagation network (BPN) is demonstrated for the designing of an antenna. Initially, the ANN is trained with an adequate number of samples. Once the ANN is trained, it can be used to get antenna parameters corresponding to specific antenna dimensions. The antenna parameters obtained using ANN is compared with the results taken by Ansoft HFSS.
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