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Computer Science ~ Contents - McGraw-Hill Books

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Electrical EngineeringInternational EditionFUN DA MEN TALS OF DIG I TAL LOG IC WITHVERILOG DE SIGN WITH CD-ROMby Stephen Brown, University of Toronto and Zvonko Vranesic,University of Toronto, Canada2003 / 844 pagesISBN-13: 978-0-07-283878-7 / MHID: 0-07-283878-7ISBN-13: 978-0-07-124276-9 / MHID: 0-07-124276-7 [IE]The website will contain: solutions manual for instructors only, weblinks, and PowerPoint slides. (Browse http://highered.mcgraw-hill.com/sites/0072823151)CONTENTS1 Design Concepts. 2 In tro duc tion to Logic Circuits. 3 Im ple men ta tion Technology.4 Optimized Implementation of Logic Functions. 5 Number Representationand Arithmetic Circuits. 6 Combinational Circuit Build ing Blocks. 7 Flip-Flops,Registers, and Counters. 8 Synchronous Sequential Circuits. 9 AsynchronousSequential Circuits. 10 Digital System Design. 11 Testing of Logic Circuits.A Verilog Reference. B Tutorial 1. C Tutorial 2. D Tutorial 3. E CommercialDevicesInternational EditionDIGITAL PRIN CI PLES AND DE SIGN WITH CD-ROMby Donald Givone, SUNY — Buffalo2003 / 832 pagesISBN-13: 978-0-07-255132-7 / MHID: 0-07-255132-1ISBN-13: 978-0-07-123005-6 / MHID: 0-07-123005-X [IE]www.mhhe.com/givoneCONTENTS1 Introduction. 2 Number Systems, Arithmetic, and Codes. 3 Boolean Algebraand Com bi na tion al Networks. 4 Simplification of Boolean Expressions. 5 LogicDesign with MSI Components and Programmable Logic Devices. 6 Flip-Flops andSimple Flip-Flop Applications. 7 Syn chro nous Sequential Networks. 8 AlgorithmicState Machines. 9 Asnynchronous Sequential Networks. Appendix A: DigitalCircuits. Appendix B: TBDNeural Networks/Fuzzy LogicInternational EditionNEURAL NETWORKS: A CLASSROOM APPROACHby Satish Kumar, Reader in <strong>Computer</strong> <strong>Science</strong> and Applications,Dayalbagh Ed u ca tion al Institute, Agra2004 / 768 pagesISBN-13: 978-0-07-048292-0 / MHID: 0-07-048292-6ISBN-13: 978-0-07-124672-9 / MHID: 0-07-124672-X [IE](Tata <strong>McGraw</strong>-<strong>Hill</strong> Title)Neural Networks is an integral component of the ubiquitous softcomputing paradigm. An in-depth understanding of this fieldrequires some background of the principles of neu ro science,mathematics and computer programming. Neural Networks: AClassroom Ap proach, achieves a balanced blend of these areasto weave an appropriate fabric for the exposition of the diversityof neural network models. This book is unique, in the sensethat it stresses on an intuitive and geometric understanding ofthe subject and on the heuristic explanation of the theoreticalresults. This book is intended for a first course on NeuralNetworks and can also serve as a supporting text for courseson soft computing, artificial intelligence, machine learningand neuron modeling.CONTENTSI. Traces of History and A Neuroscience Briefer: 1 Brain Style Com put ing: Or i ginsand Issues. 2 Lessons from Neu ro science. II. Feedforward Neu ral Networks andSu per vised Learning: 3 Artificial Neu rons, Neural Networks and Architectures4 Geometry of Binary Threshold Neurons and Their Networks. 5 SupervisedLearn ing I: Perceptrons and LMS. 6 Supervised Learn ing II: Backpropagationand Beyond. 7 Neural Net work: A Sta tis ti cal Pattern Rec og ni tion Perspective. 8Fo cus sing on Gen er al i za tion: Support Vec tor Machines and Ra di al Basis FunctionNet works. III. Recurrent Neurodynamical Sys tems: 9 Dynamical Systems Review.10 Attractor Neural Net works. 11 Adaptive Res o nance Theory. 12 Towards the SelfOr ga niz ing Feature Map. IV. Contemporary Top ics: 13 Pulsed Neu ron Models:The New Gen er a tion. 14 Fuzzy Sets, Fuzzy Systems and Applications. 15 NeuralNetworks and the Soft Com put ing ParadigmInternational EditionInternational EditionMODERN DIGITAL ELECTRONICSThird Editionby R P Jain, Director, Institute of Engineering and Technology,Sonepat2003 / 624 pages / SoftcoverISBN-13: 978-0-07-049492-3 / MHID: 0-07-049492-4ISBN-13: 978-0-07-123670-6 / MHID: 0-07-123670-8 [IE](Tata <strong>McGraw</strong>-<strong>Hill</strong> Title)http://www.tatamcgrawhill.com/digital_solutions/rpjainInternational EditionPRINCIPLES OF NEUROCOMPUTING FOR SCIENCEAND ENGINEERINGby Fredric M Ham, Florida Institute of Technolog, Melbourne andIvica Kostanic, Agilent Tech nol o gies, Inc.2001 / 672 pages / HardcoverISBN-13: 978-0-07-025966-9 / MHID: 0-07-025966-6ISBN-13: 978-0-07-118161-7 / MHID: 0-07-118161-X [IE]http://www.mhhe.com/hamCONTENTS1 Introduction to Neurocomputing. 2 Fundamental Neurocomputing Concepts.3 Mapping Networks. 4 Self-Organizing Networks. 5 Recurrent Networks andTemporal Feedforward Networks. 6 Neural Networks for Optimization Problems.7 Solving Matrix Algebra Problems with Neural Networks. 8 Solution of LinearAlgebraic Equations Using Neural Networks. 9 Statistical Methods Using NeuralNetworks. 10 Identification, Control, and Estimation Using Neural Networks.Appendix Mathematical Foundation for NeurocomputingCOMPUTER AR CHI TEC TURE AND LOGIC DESIGNby Thomas C. Bartee, IDA1991 / 640 pagesISBN-13: 978-0-07-112554-3 / MHID: 0-07-112554-X [IE]152121-160_ELECTRICAL.indd 15211/15/06 5:32:26 PM

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