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Neural Networks for Pattern Recognition Christopher M. Bishop
Publisher: Oxford University Press, USA

This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. It seems to me that neural networks are good at recognizing patterns. For instance, we have the famous “Head and Shoulders” pattern. This is the first complete treatment of feed-forward neural networks from the viewpoint of statistical pattern recognition. Pattern Recognition Video Lectures, IISc Bangalore Online Course, free tutorials and lecture notes, free download, Educational Lecture Videos. {This book provides a solid statistical foundation for neural networks from a pattern recognition perspective. Computer-based neural networks have much greater success at recognizing patterns in data than traditional computational models. Neural Networks for Pattern Recognition. Title: Synthesis of neural networks for spatio-temporal spike pattern recognition and processing. We demonstrate its use in generating a network to recognize speech which is sparsely encoded as spike times. Pattern recognition is very important in trading. They do this by mimicing the massively connected nature of neurons.