Neural Networks A Classroom Approach 2nd Edition

Neural Networks is an integral component of 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 Systems Discussion about the conventional neural network algorithms while relating the underlying theme to the cutting edge neuroscience findings Integrates detailed computer simulations, pseudo-code and well documented MATLAB code segments for all models. Real world applications for all foundation models Extensive use of illustrations and MATLAB plots.