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This book is about the use of artificial neural networks for supervised learning problems. Many such problems occur in practical applications of artificial neural networks. For example, a neural network might be used as a component of a face recognition system for a security appli- cation. After seeing a number of images of legitimate users' faces, the network needs to determine accurately whether a new image corresponds to the face of a legitimate user or an imposter. In other applications, such as the prediction of future price of shares on the stock exchange, we may require a neural network to model the relationship between a pattern and a real-valued quantity.
Update : 2010-10-27 Size : 19.16mb Publisher : kj5566

基于马氏椭球学习机的监督野点探测;属于极限学习机elm算法在模式识别, 智能信息处理技术方面的应用论文:针对ssdd、melm、sodmelm算法比较-Supervised outlier detection based on Mahalanobis ellipsoid learning machine belong extreme learning machine algorithm elm papers in pattern recognition, intelligent information processing technology: a comparison against ssdd, melm, sodmelm
Update : 2025-02-17 Size : 181kb Publisher : 柳飞
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