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Brief description of the learning process for the classification of clinical according to two classes separated by a surface separating of the order of 1 or 2
Brief description of the learning process for the classification of clinical according to two classes separated by a surface separating of the order of 1 or 2
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机译:根据按1或2数量级的表面分隔分隔的两个类别对临床分类进行学习的过程的简要说明
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摘要
A method for learning to classify data according to two distinct classes (c11, c12) separated by a separating surface (S), by means of a neurone of the binary type comprising a parameter describing the separating surface and whose inputs are weighted by a weight (wi), and including the following steps:a) defining a cost function C:b) initializing the weights (Wi), the radii (ri), the parameters (sigma, T+, T-), the learning rate (epsi) and speeds of the temperature decreasing (deltaT+, deltaT-);c) minimizing the cost function C by successive iterations;d) obtaining the values of the weights of the connections and radii of the neurone.Application to the classification and recognition of shapes by a neural network.
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