Computational Intelligence in Digital and Network Designs and Applications

This book PDF is perfect for those who love Computers genre, written by Mourad Fakhfakh and published by Springer which was released on 14 July 2015 with total hardcover pages 350. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Computational Intelligence in Digital and Network Designs and Applications books below.

Computational Intelligence in Digital and Network Designs and Applications
Computational Intelligence in Digital and Network Designs and Applications
Author : Mourad Fakhfakh
File Size : 46,5 Mb
Publisher : Springer
Language : English
Release Date : 14 July 2015
ISBN : 9783319200712
Pages : 350 pages
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Computational Intelligence in Digital and Network Designs and Applications by Mourad Fakhfakh Book PDF Summary

This book explains the application of recent advances in computational intelligence – algorithms, design methodologies, and synthesis techniques – to the design of integrated circuits and systems. It highlights new biasing and sizing approaches and optimization techniques and their application to the design of high-performance digital, VLSI, radio-frequency, and mixed-signal circuits and systems. This second of two related volumes addresses digital and network designs and applications, with 12 chapters grouped into parts on digital circuit design, network optimization, and applications. It will be of interest to practitioners and researchers in computer science and electronics engineering engaged with the design of electronic circuits.

Computational Intelligence in Digital and Network Designs and Applications

Computational Intelligence in Digital and Network Designs and Applications by Mourad Fakhfakh,Esteban Tlelo-Cuautle,Patrick Siarry

This book explains the application of recent advances in computational intelligence – algorithms, design methodologies, and synthesis techniques – to the design of integrated circuits and systems. It highlights new biasing and sizing approaches and optimization techniques and their application to the design of high-performance digital, VLSI, radio-frequency, and mixed-signal circuits and

Get Book
Computational Intelligence in Analog and Mixed Signal AMS and Radio Frequency RF Circuit Design

Computational Intelligence in Analog and Mixed Signal AMS and Radio Frequency RF Circuit Design by Mourad Fakhfakh,Esteban Tlelo-Cuautle,Patrick Siarry

This book explains the application of recent advances in computational intelligence – algorithms, design methodologies, and synthesis techniques – to the design of integrated circuits and systems. It highlights new biasing and sizing approaches and optimization techniques and their application to the design of high-performance digital, VLSI, radio-frequency, and mixed-signal circuits and

Get Book
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This book focuses on computational intelligence techniques and their applications -- fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy

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This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big

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Computational Intelligence techniques have been widely explored in various domains including forensics. Analysis in forensic encompasses the study of pattern analysis that answer the question of interest in security, medical, legal, genetic studies and etc. However, forensic analysis is usually performed through experiments in lab which is expensive both in

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Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards

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