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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.
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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.