Initialization of adaptive parameters in density networks

作者： Norbert Jankowski

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摘要: Initialization of adaptive parameters in neural networks is crucial importance to the speed convergence learning procedure. Methods initialization for density are reviewed and two new methods, based on decision trees dendrograms, presented. These methods were applied Feature Space Mapping framework artificial real world datasets. Results show superiority dendrogram-based method including rotation.

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Initialization of adaptive parameters in density networks

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Initialization of adaptive parameters in density networks

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