LEADER 03214nam  22005895  450 
001 9910483938503321
005 20200705173204.0
010   $a3-030-14524-7
024 7 $a10.1007/978-3-030-14524-8
035   $a(CKB)4100000007881182
035   $a(MiAaPQ)EBC5754864
035   $a(DE-He213)978-3-030-14524-8
035   $a(PPN)243770677
035   $a(EXLCZ)994100000007881182
100   $a20190408d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDeep Learning Classifiers with Memristive Networks $eTheory and Applications /$fedited by Alex Pappachen James
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (216 pages)
225 1 $aModeling and Optimization in Science and Technologies,$x2196-7326 ;$v14
311   $a3-030-14522-0 
320   $aIncludes bibliographical references.
330   $aThis book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks. It then focuses on the design of these neural networks using memristor crossbar architectures in detail. The book integrates the theory with various applications of neuro-memristive circuits and systems. It provides an introductory tutorial on a range of issues in the design, evaluation techniques, and implementations of different deep neural network architectures with memristors.
410  0$aModeling and Optimization in Science and Technologies,$x2196-7326 ;$v14
606   $aComputational intelligence
606   $aPattern perception
606   $aData mining
606   $aOptical data processing
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
615  0$aComputational intelligence.
615  0$aPattern perception.
615  0$aData mining.
615  0$aOptical data processing.
615 14$aComputational Intelligence.
615 24$aPattern Recognition.
615 24$aData Mining and Knowledge Discovery.
615 24$aImage Processing and Computer Vision.
676   $a006.32
676   $a006.32
702   $aJames$b Alex Pappachen$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910483938503321
996   $aDeep Learning Classifiers with Memristive Networks$92083303
997   $aUNINA