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Titlebook: Advances in Neural Networks -- ISNN 2011; 8th International Sy Derong Liu,Huaguang Zhang,Haibo He Conference proceedings 2011 Springer Berl

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A Novel Classifier Ensemble Method Based on Class Weightening in Huge DatasetOverview:
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Learning Curve Model for Torpedo Based on Neural NetworkOverview:
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https://doi.org/10.1007/978-3-031-16404-0 the comparison studies about the impact of discharge and gage height on the runoff forecast accuracy, it was found that when both the previous discharge and gage height were used, the network achieved lower mean squared error, and better time series response than the case when the gage height is th
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,The Community Partnership Schools™ Model,brary represents a single measurement, the inference has to be performed on the smallest sample possible - sample of size 1. In this contribution we compare the Audic-Claverie approach with a (regularized) maximum likelihood (ML) framework. We analytically approximate the expected K-L divergence fro
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Community Pest Management in Practiceonistic uncertainty-rough sets are proposed and the reduction algorithm is improved. The rule reliability is deduced using intuitionistic fuzzy sets and probability. The worked example for Xigaze power system in China’s Tibet shows the effectiveness and usefulness of the approach.
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Contourlet-Based Texture Classification with Product Bernoulli Distributionss implemented as a direct response to their main social base, the industrial working class. Developmental states, unlike their wel-farist counterparts, did not arise as a direct response to working-class pressure, though labour did sometimes figure as part of the political coalition supporting them.
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