03214nam 22005895 450 991048393850332120200705173204.03-030-14524-710.1007/978-3-030-14524-8(CKB)4100000007881182(MiAaPQ)EBC5754864(DE-He213)978-3-030-14524-8(PPN)243770677(EXLCZ)99410000000788118220190408d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDeep Learning Classifiers with Memristive Networks Theory and Applications /edited by Alex Pappachen James1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (216 pages)Modeling and Optimization in Science and Technologies,2196-7326 ;143-030-14522-0 Includes bibliographical references.This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks. It then focuses on the design of these neural networks using memristor crossbar architectures in detail. The book integrates the theory with various applications of neuro-memristive circuits and systems. It provides an introductory tutorial on a range of issues in the design, evaluation techniques, and implementations of different deep neural network architectures with memristors.Modeling and Optimization in Science and Technologies,2196-7326 ;14Computational intelligencePattern perceptionData miningOptical data processingComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Computational intelligence.Pattern perception.Data mining.Optical data processing.Computational Intelligence.Pattern Recognition.Data Mining and Knowledge Discovery.Image Processing and Computer Vision.006.32006.32James Alex Pappachenedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910483938503321Deep Learning Classifiers with Memristive Networks2083303UNINA