Neural Networks for RF and Microwave Design (Microwave Library)

Neural networks are information processing systems that can learn, generalize and even allow model development when component formulas are missing. This text demonstrates how to use neural networks to create models, evaluate models, and conquer some of the toughest RF and microwave CAD problems. The book also includes a review of neural netowrk applications in modelling microstrip lines, vias, CPW disconinuities, spiral inductors, FET and VLSI interconnects.

discover The New, Unconventional Alternatives For Conquering Rf And Microwave Design And Modeling Problems Using Neural Networks — Information Processing Systems That Can Learn, Generalize, And Even Allow Model Development When Component Formulas Are Missing — With This Book And Software Package. It Shows You The Ease Of Creating Models With Neural Networks, And How Quick Model Evaluation Can Be Done, Plus Other Opportunities Presented By Neural Networks For Conquering The Toughest Rf And Microwave Cad Problems.

Written By And For Rf And Microwave Engineers, You Get A Thorough Survey Of Recent Neural Network Application In Modeling Microstrip Lines, Vias, Cpw Discontinuities, Spiral Inductors, Printed Antennas, Fet, And Vlsi Interconnects. Neural Networks Have Also Been Used For Speeding Up Harmonic Balance Simulations And Optimizations, Smith Chart Representation And Automatic Impedance Matching, And Statistical Design Of Passive And Active Microwave Circuits.

This Books Helps You...

> Relate Problems Encountered In Rf And Microwave Design To Possible Solutions Utilizing Neural Networks

> Understand How Neural Nets Can Be Structured And Trained For Modeling Various Rf And Microwave Components, Including Various Electromagnetic Structures, And How To Optimize The Geometry Of Some Of These Components

> Learn How Neural Networks Can Be Used In Modeling Of Interconnects Used In High-speed Digital Circuits, As Well As Rf And Microwave Circuits

> Develop Small-signal And Large-signal Models For Various Active Devices Such As Fets, Hbts, And Hmets, And How To Directly Incorporate Neural Network Models Into Circuitsimulation And Design

> Develop Neural Net Models For Rf And Microwave Components Using The Accompanying Software

This Book Also Details A Methodology For Creating Knowledge-based Design Using Neural Networks, And A Discussion Of Emerging Trends In This Dynamic New Field. Utilizing Extensive Illustrations And Equations, This Is A Complete, Cutting-edge Reference For Rf And Microwave Researchers And Designers, Cad Tool Developers, And Students And Academics.

Software Included! Neuromodeler Is The First Software To Help You Create Neural Net Models, Dictate What The Neural Net Should Learn From Your Data, Suggest Training Techniques, Perform Independent Tests, And Export Your Neural Net Model To Your Own User Environment. System Requirements: Windows 95/nt, 120 Mhz, 32 Mb Ram.

booknews

describing Neural Networks As Information Processing System Inspired By The Ability Of The Human Brain To Learn From Observations And To Generalize By Abstraction, Zhang (electronics, Carlton U., Ottawa) And Gupta (manufacturing And Packaging Electronics, U. Of Colorado) Describe The Approach For Radio-frequency And Microwave Engineers, Researchers, And Graduate Students. They Discuss Modeling And Optimizing For Design, Network Structures, Training Networks, Models For Radio-frequency And Microwave Components, Modeling High-speed Integrated Circuit Interconnects, Modeling Active Components, Design Analysis And Optimization, And Knowledge-based Models. The Contents Of The Disk Remain A Surprise. Annotation C. Book News, Inc., Portland, Or (booknews.com)