Hello! I am Youngmok Yun (aka. Mok)

I am Youngmok Yun (aka Mok). I founded startups including Contoro Robotics (CEO), Harmonic Bionics, Inc. (Board member). I like to solve social and tech problems with an approach of entrepreneurs. My career goal is to bring the robots around our lives. For more details about me, please visit my LinkedIn Site.

In this blog, I am sharing some codes and useful knowledge that I created because I couldn’t find in other websites. My little hope is to give back my knowledge obtained from others to another.

Aboutme  Research  Theory  Life

Have a nice time. Always welcome to contact me. yunyoungmok <a.t> gmail . com

6 thoughts on “Hello! I am Youngmok Yun (aka. Mok)

  1. John Semmlow

    I like your MATLAB-based muscle model. I would possibly like to use it as an example of modeling in the next editor of my textbook: Signal and Systems in Biomedical Engineering (3ed ed); John Semmlow author. Of course I would recognize you as the originator.

    Reply
    1. admin Post author

      Thanks. It is always my pleasure if my work can help your project. I always get many helps from someone’s website. Good luck to your publication!

      Reply
  2. Shiera

    Hello dear brother, I am trying to code the paper “Orthogonal Least Square Learning Algorithm for Radial Basis Function Networks”. By S. Chen, C. F. N. Cowan, and P. M. Grant, 1991
    Could you please help me! I really need to have some results for that paper. Please email me the code on bs200920050@gmail.com. I’d appreciate it

    Reply
  3. Heeseung Kim

    Hello Youngmok

    I am currently a student in Australia on a master’s degree in mechanical engineering.

    The topic of this project is to predict the mechanical properties of yarn using RBFN.

    However, I am not very good at MATLAB, so I will contact you for help.

    Firstly, in the kernel regression post, you used a function but couldn’t find the z value and the weight value.

    Can you possibly get the above function put inside a for statement? (Without making a function…)

    Second.

    In the post mentioned above, the input data was x one. Can you tell me how to predict y values for two variables x1, x2?

    Could you possibly get the relevant code?

    Attach my email.

    Please answer me. Thank you.

    Reply

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