Reconfigurable Cellular Neural Networks and Their Applications
暫譯: 可重構的細胞神經網絡及其應用

Yalcın, Mu&#351tak E., Ayhan, Tuba, Yeniceri, Ramazan

Reconfigurable Cellular Neural Networks and Their Applications
  • 出版商: Springer
  • 出版日期: 2019-04-26
  • 售價: $2,080
  • 貴賓價: 9.5 折 $1,976
  • 語言: 英文
  • 頁數: 74
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030178390
  • ISBN-13: 9783030178390

    • 海外代購書籍(需單獨結帳)

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商品描述

This book explores how neural networks can be designed to analyze sensory data in a way that mimics natural systems. It introduces readers to the cellular neural network (CNN) and formulates it to match the behavior of the Wilson-Cowan model. In turn, two properties that are vital in nature are added to the CNN to help it more accurately deliver mimetic behavior: randomness of connection, and the presence of different dynamics (excitatory and inhibitory) within the same network. It uses an ID matrix to determine the location of excitatory and inhibitory neurons, and to reconfigure the network to optimize its topology.

The book demonstrates that reconfiguring a single-layer CNN is an easier and more flexible solution than the procedure required in a multilayer CNN, in which excitatory and inhibitory neurons are separate, and that the key CNN criteria of a spatially invariant template and local coupling are fulfilled. In closing, the application of the authors' neuron population model as a feature extractor is exemplified using odor and electroencephalogram classification.


商品描述(中文翻譯)

這本書探討了如何設計神經網絡以分析感官數據，模仿自然系統的方式。它向讀者介紹了細胞神經網絡（Cellular Neural Network, CNN），並將其公式化以匹配Wilson-Cowan模型的行為。接著，將兩個在自然界中至關重要的特性添加到CNN中，以幫助其更準確地呈現模擬行為：連接的隨機性，以及在同一網絡中存在不同的動態（興奮性和抑制性）。它使用ID矩陣來確定興奮性和抑制性神經元的位置，並重新配置網絡以優化其拓撲結構。

本書展示了重新配置單層CNN是一個比多層CNN所需程序更簡單且更靈活的解決方案，在多層CNN中，興奮性和抑制性神經元是分開的，並且滿足CNN的關鍵標準：空間不變模板和局部耦合。最後，作者的神經元群體模型作為特徵提取器的應用，通過氣味和腦電圖分類進行示範。

作者簡介

Tuba Ayhan was born in Ankara, Turkey, in 1987. She received the B.Sc. and M.Sc. degrees in electronics engineering from Istanbul Technical University, Istanbul, Turkey, in 2008 and 2010, respectively. In 2015, she received the Ph.D. degree in Applied Sciences from the Katholieke Universiteit Leuven, Belgium on electronic localization systems. She studied machine olfaction and cellular neural networks and she was a visiting scholar at The Institute for Nonlinear Science, University of California San Diego (UCSD) during her Master. Since 2015, she has been a research assistant at Istanbul Technical University, Istanbul, Turkey,

Mustak E. Yalcin was born in Unye, Turkey, in 1971. In 1993, he obtained the degree in Electronics and Telecommunications Engineering from Istanbul Technical University (I.T.U.), Electrical and Electronic Engineering Faculty. In 1997, he received the Master degree in Electronics and Communications Engineering from I.T.U. Institute of Science and Technology. In 2004, he recieved the Ph.D. degree in Applied Sciences from the Katholieke Universiteit Leuven, Belgium. Between June 2004-December 2004, he was a postdoctoral fellow at Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT)/SCD-SISTA. He was also a Visiting Research Fellow at The Institute for Nonlinear Science, University of California San Diego (UCSD) in 2009. He is currently a full Professor with Istanbul Technical University, Turkey. His research interests are mainly in the areas of the theory and application of nonlinear circuit and systems. He is co-author of the book "Cellular Neural Networks, Multi-Scroll Chaos and Synchronization" (World Scientific). Mustak E. Yalcin has been elected Chair of IEEE CAS Cellular Nanoscale(Neural) Networks and Array Computing Technical Committee form 2015. He was appointed as Associate Editor for the International Journal of Bifurcation and Chaos in Applied Sciences and Engineering from 2015.

Ramazan Yeniceri was born in Denizli, Turkey in 1985. He received his B.Sc., M.Sc. and Ph.D. degrees in Electronics and Communication Engineering Department from Istanbul Technical University (ITU). He has received ITU Annual Award for Best PhD Thesis in 2015. After six years of Research and Teaching Assistant experience in ITU Department of Electronics and Communication Engineering and one year of Senior Design and Verification Engineer experience in Electra IC, he has been with ITU Aerospace Research Center (ITUARC) in a Senior Researcher position. He is now with Department of Aeronautical Engineering as Assistant Professor and Board Member of ITUARC. His current research topics are unmanned aerial vehicles, embedded systems and avionics.

作者簡介(中文翻譯)

Tuba Ayhan 於1987年出生於土耳其安卡拉。她於2008年和2010年分別在土耳其伊斯坦堡科技大學獲得電子工程學士和碩士學位。2015年，她在比利時魯汀大學獲得應用科學博士學位，研究主題為電子定位系統。她研究了機器嗅覺和細胞神經網絡，並在碩士期間擔任加州大學聖地牙哥分校（UCSD）非線性科學研究所的訪問學者。自2015年以來，她一直擔任土耳其伊斯坦堡科技大學的研究助理。

Mustak E. Yalcin 於1971年出生於土耳其烏尼耶。1993年，他在伊斯坦堡科技大學（I.T.U.）電氣與電子工程學院獲得電子與電信工程學位。1997年，他在I.T.U.科學與技術研究所獲得電子與通信工程碩士學位。2004年，他在比利時魯汀大學獲得應用科學博士學位。2004年6月至12月，他在魯汀大學電氣工程系（ESAT）/SCD-SISTA擔任博士後研究員。他於2009年擔任加州大學聖地牙哥分校（UCSD）非線性科學研究所的訪問研究員。目前，他是土耳其伊斯坦堡科技大學的正教授。他的研究興趣主要集中在非線性電路和系統的理論與應用。他是《Cellular Neural Networks, Multi-Scroll Chaos and Synchronization》（世界科學出版社）一書的共同作者。Mustak E. Yalcin自2015年起被選為IEEE CAS細胞納米尺度（神經）網絡與陣列計算技術委員會的主席。他自2015年起被任命為《International Journal of Bifurcation and Chaos in Applied Sciences and Engineering》的副編輯。

Ramazan Yeniceri 於1985年出生於土耳其德尼茲利。他在伊斯坦堡科技大學（ITU）電子與通信工程系獲得學士、碩士和博士學位。他於2015年獲得ITU最佳博士論文年度獎。經過六年的研究和教學助理經驗以及在Electra IC擔任一年的高級設計與驗證工程師後，他目前在ITU航空航天研究中心（ITUARC）擔任高級研究員。他現在是航空工程系的助理教授及ITUARC的董事會成員。他目前的研究主題包括無人機、嵌入式系統和航空電子學。

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