Neural Network Structures - IEEE

3 Neural Network StructuresThis chapter describes various types of Neural Network Structures that are usefulfor RF and microwave applications. The most commonly used Neural networkconfigurations, known as multilayer perceptrons (MLP), are described first,together with the concept of basic backpropagation training, and the universalapproximation theorem. Other Structures discussed in this chapter includeradial basis function (RBF) Network , wavelet Neural Network , and self-organizingmaps (SOM). Brief reviews of arbitrary Structures for ANNs and recurrentneural networks are also IntroductionA Neural Network has at least two physical components, namely, the processingelements and the connections between them.

62 Neural Networks for RF and Microwave Design A variety of neural network structures have been developed for signal processing, pattern recognition, control, and …

Loading..

Tags:

  Network, Design, Structure, Microwave, Neural, Neural network structures, Microwave design

Information

Related search queries