Neural Networks: A Classroom Approach,1/e

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Neural Networks is an integral component fo the ubiquitous soft computing paradigm. An in-depth understanding of this field requires some background of the principles of neuroscience, mathematics and computer programming. Neural Networks: A Classroom Approach, achieves a balanced blend of these areas to weave an appropriate fabric for the exposition of the diversity of neural network models.This book is unique, in the sense that it stresses on an intuitive and geometric understanding of the subject and on the heuristic explanation of the theoretical results.Key Features:Chapters on Neuroscience, Statistical Pattern Recognition, Support Vector Machines, Pulsed Neural Networks, Fuzzy Systems, Soft Computing and Dynamical SystemsDiscussion about the conventional neural network algorithms while relating the underlying theme to the cutting edge neuroscience findingsIntegrates detailed computer simulations, pseudo-code and well decumented MATLAB code segments for all models.Real world applications for all foundation models Extensive use of illustrations and MATLAB plotsTable of Content:PART I TRACES OF HISTORY AND A NEUROSCIENCE BRIEFERChapter 1 Brain Style Computing: Origins and IssuesChapter 2 Lessons from NeurosciencePART II FEEDFORWARD NEURAL NETWORKS AND SUPERVISED LEARNINGChapter 3 Artificial Neurons, Neural Networks and ArchitecturesChapter 4 Geometry of Binary Threshold Neurons and Their NetworkChapter 5 Supervised Learning I: Perceptrons and LMSChapter 6 Supervised Learning II: Backpropagation and BeyondChapter 7 Neural Networks: A Statiscal Pattern Recognition PerspectiveChapter 8 Focusing on Generalization: Support Vector Machines and Radial Basis Function NetworksPART III RECURRENT NEURODYNAMICAL SYSTEMSChapter 9 Dynamic Systems ReviewChapter 10 Attractor Neural NetworksChapter 11 Adaptive Resonance TheoryChapter 12 Towards the Self-Organizing Feature MapPART IV CONTEMPORARY TOPICSChapter 13 Pulsed Neuron Models: The New GenerationChapter 14 Fuzzy Sets, Fuzzy Systems and ApplicationChapter 15 Neural Networks and the Soft Computing ParadigmAppendix A Neural Network HardwareAppendix B Web PointersBibliographyIndex