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超限学习机理论讲解及编程实现

  • Category : AI-NN-PR
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  • Update : 2019-05-22
  • Size : 3.56mb
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  • Author :简小***
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Introduction - If you have any usage issues, please Google them yourself
The method gives the input weights and thresholds of neuron weights randomly, and then calculates the output weights by regularization principle. The neural network can still approximate any continuous system.
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FilenameSizeUpdate
超限学习机理论讲解及编程实现\elmpredict.m 1454 2010-11-07
超限学习机理论讲解及编程实现\elmtrain.m 1752 2010-11-07
超限学习机理论讲解及编程实现\iris_data.mat 1105 2010-10-17
超限学习机理论讲解及编程实现\main.asv 2409 2017-08-28
超限学习机理论讲解及编程实现\main.m 2411 2017-08-27
超限学习机理论讲解及编程实现\spectra_data.mat 171497 2010-10-14
超限学习机理论讲解及编程实现\课件.pptx 4182164 2017-08-28
超限学习机理论讲解及编程实现 0 2019-05-22
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