Neural Networks for RF and Microwave Design

By K.C. Gupta

Neural Networks for RF and Microwave Design

An electrical engineering textbook on practical applications of artificial intelligence technology methods to solving complex radio-frequency and microwave design problems.

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Table of Contents

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Neural Networks for RF and Microwave Design

Chapter 1: Introduction and Overview

Chapter 2: Modeling and Optimization for Design

Chapter 3: Neural Network Structures

Chapter 4: Training of Neural Networks

4.2: Key Issues in Neural Model Development

4.3: Neural Network Training

4.4: Back Propagation Algorithm and Its Variants

4.5: Training Algorithms Using Gradient-Based Optimization Techniques

4.6: Nongradient-Based Training: Simplex Method

4.7: Training With Global Optimization Methods

4.8: Training Algorithms Utilizing Decomposed Optimization

4.9: Comparisons of Different Training Techniques

4.10: Feedforward Neural Network Training: Examples

References

Chapter 5: Models for RF and Microwave Components

Chapter 6: Modeling of High-Speed IC Interconnects

Chapter 7: Active Component Modeling Using Neural Networks

Chapter 8: Design Analysis and Optimization

Chapter 9: Knowledge-Based ANN Models

Chapter 10: Concluding Remarks and Emerging Trends

NeuroModeler Introductory Version

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