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010   $a3-030-17840-4
024 7 $a10.1007/978-3-030-17840-6
035   $a(CKB)4100000007938140
035   $a(MiAaPQ)EBC5755030
035   $a(DE-He213)978-3-030-17840-6
035   $a(PPN)243770472
035   $a(EXLCZ)994100000007938140
100   $a20190415d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aReconfigurable Cellular Neural Networks and Their Applications /$fby Mü?tak E. Yalç?n, Tuba Ayhan, Ramazan Yeniçeri
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (79 pages)
225 1 $aSpringerBriefs in Nonlinear Circuits,$x2520-1441
311 08$a3-030-17839-0 
327   $aIntroduction -- Arti?cial Neural Network Models -- Arti?cial Olfaction System -- Implementations of CNNs -- Index.
330   $aThis book explores how neural networks can be designed to analyze sensory data in a way that mimics natural systems. It introduces readers to the cellular neural network (CNN) and formulates it to match the behavior of the Wilson?Cowan model. In turn, two properties that are vital in nature are added to the CNN to help it more accurately deliver mimetic behavior: randomness of connection, and the presence of different dynamics (excitatory and inhibitory) within the same network. It uses an ID matrix to determine the location of excitatory and inhibitory neurons, and to reconfigure the network to optimize its topology. The book demonstrates that reconfiguring a single-layer CNN is an easier and more flexible solution than the procedure required in a multilayer CNN, in which excitatory and inhibitory neurons are separate, and that the key CNN criteria of a spatially invariant template and local coupling are fulfilled. In closing, the application of the authors? neuron population model as a feature extractor is exemplified using odor and electroencephalogram classification.
410  0$aSpringerBriefs in Nonlinear Circuits,$x2520-1441
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aElectronic circuits
606   $aComputational Intelligence
606   $aArtificial Intelligence
606   $aElectronic Circuits and Systems
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aElectronic circuits.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aElectronic Circuits and Systems.
676   $a006.32
700   $aYalç?n$b Mü?tak E$4aut$4http://id.loc.gov/vocabulary/relators/aut$0515714
702   $aAyhan$b Tuba$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aYeniçeri$b Ramazan$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910483789103321
996   $aReconfigurable Cellular Neural Networks and Their Applications$92844595
997   $aUNINA