Abstract
In this chapter, the development of ANN models for the design of proposed
fractal antennas is explained. The various parameters of the fractal antennas selected
for ANN models are described. The ANN models are designed using feed-forward
neural networks, namely MLPNN, RBFNN and GRNN. The performance comparison
of different ANN models on the basis of different performance measures is also given.
The design of ANN ensemble models for fractal antennas is introduced, and different
techniques for developing ANN ensemble models are also discussed in this chapter.
Related Journals
Recent Patents on Space Technology
Recent Progress in Space Technology (Discontinued)
Current Alternative Energy
Recent Patents on Mechanical Engineering
Recent Patents on Engineering
Anti-Cancer Agents in Medicinal Chemistry Test_Journal
Recent Advances in Communications and Networking Technology (Discontinued)
Recent Patents on Telecommunication
Related Books
6G Wireless Communications and Mobile Networking
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Solar Thermal Systems: Thermal Analysis and its Application
Recent Developments in Artificial Intelligence and Communication Technologies
40 YEARS OF SHS: A LUCKY STAR OF A SCIENTIFIC DISCOVERY A Presentation with Elements of a Scientific Lecture
A Review: Chill-Block Melt Spin Technique, Theories & Applications