000 02789nam a22004815i 4500
001 978-81-322-1563-9
003 DE-He213
005 20140220082526.0
007 cr nn 008mamaa
008 130902s2014 ii | s |||| 0|eng d
020 _a9788132215639
_9978-81-322-1563-9
024 7 _a10.1007/978-81-322-1563-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aAnsari, Mohd. Samar.
_eauthor.
245 1 0 _aNon-Linear Feedback Neural Networks
_h[electronic resource] :
_bVLSI Implementations and Applications /
_cby Mohd. Samar Ansari.
264 1 _aNew Delhi :
_bSpringer India :
_bImprint: Springer,
_c2014.
300 _aXXII, 201 p. 79 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v508
505 0 _aIntroduction -- Background -- Voltage-mode Neural Network for the Solution of Linear Equations -- Mixed-mode Neural Circuit for Solving Linear Equations -- Non-Linear Feedback Neural Circuits for Linear and Quadratic Programming -- OTA-based Implementations of Mixed-mode Neural Circuits -- Appendix A: Mixed-mode Neural Network for Graph Colouring -- Appendix B: Mixed-mode Neural Network for Ranking.
520 _aThis book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known that the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synaptic weights. Therefore, improved solutions are needed. The non-linear synapse neural network (NoSyNN) is one such possibility and is discussed in detail in this book. This book also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming. The material in the book is useful to students, researchers and academician working in the area of analog computation.
650 0 _aEngineering.
650 0 _aElectronics.
650 0 _aSystems engineering.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aCircuits and Systems.
650 2 4 _aMathematical Models of Cognitive Processes and Neural Networks.
650 2 4 _aElectronics and Microelectronics, Instrumentation.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9788132215622
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v508
856 4 0 _uhttp://dx.doi.org/10.1007/978-81-322-1563-9
912 _aZDB-2-ENG
999 _c93749
_d93749