labview on the case of machine learning, from the NI lab, there are a number of ways: BP, the Kernel the PCA, Clustering, svm, etc., is worth learning.

Machine Learning Toolkit Examples\Data\Data_Concentric Circles.vi
.................................\....\Data_Four Gaussian.vi
.................................\....\Data_Hemisphere.vi
.................................\....\Data_Swiss Roll.vi
.................................\....\Data_Three Balls.vi
.................................\....\Data_Uniform Square.vi
.................................\Example_BP Network_Classification.vi
.................................\Example_BP Network_Curve Fitting.vi
.................................\Example_Clustering.vi
.................................\Example_Kernel PCA.vi
.................................\Example_LDA.vi
.................................\Example_LVQ.vi
.................................\Example_Manifold Learning.vi
.................................\Example_SOM.vi
.................................\Example_SVM.vi
.................................\Data
Machine Learning Toolkit Examples

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．