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

Pattern Recognition Using Neural Networks: Theory and Algorithms for Engineers and Scientists book download. Artificial Neural networks (ANNs) belong to the adaptive class of techniques in the machine learning arena. €�Neural networks for pattern recognition.” (1995): 5. Pattern Recognition Using Neural Networks: Theory and Algorithms for Engineers and Scientists Carl G. Santhanam et all, worked to predict rain as a classification problem using a 2 layer back propagation feed-forward neural network as well as radial basis function networks. Neural networks are advanced pattern recognition algorithms capable of extracting complex, nonlinear relationships among variables. Computer-based neural networks have much greater success at recognizing patterns in data than traditional computational models. Lateral neural networking structures may hold the key to accurate artificial vision, pattern recognition, and image identification. They do this by mimicing the massively connected nature of neurons. They produced a classification error rate of 18% and 11.51% for their feed-forward network and radial basis function ..