About Me

Contact Me    

Dr. Wei-Yuan Lin

Professor, Department of Economics, Soochow University ,Taiwan.

www.scu.edu.tw
 
(56, Sec.1, Kwei-Yang St., Taipei, Taiwan, R.O.C)
TEL:+886-2-2311-1531 ext3664
FAX:+886-2-2382-2001
E-Mail:k8888@scu.edu.tw

Educational Background

Ph.D. Department of Economics, National Chengchi University, Taiwan

Introduction

 I am an active researcher with an immense teaching experience of 40 years in numerous fields, including Leader and Follwers Algorithm, Fruit Fly Optimization Algorithm, Evolutionary Computation, Optimal Stochastic Control, Mathematical Economics, Econometrics, Economic Thoght, Money and Banking, Investment and Finance. Furthermore, I have published more than 52 research articles in reputable conferences and journals of economics and engineering sciences.

Research Interests
  • Leader and Follwers Algorithm
  • Fruit Fly Optimization Algorithm
  • Evolutionary Computation
  • Optimal Stochastic Control
  • Mathematical Economics
  • Econometrics
  • Economic Thoght
  • Money and Banking
  • Investment and Finance

2 comments:

  1. This is Melese Bitew From Ethiopia. I'm student. I am not longer experienced with

    matlab programming. i have 75X18 matrix data to estimate each 75 items with 18

    measurement elements. while i was reading GRNN is the best and efficient

    approach for prediction. in doing this i found your research
    Fruit Fly Optimization Algorithm (FFOA)

    sample code in titled as Matlab Code for FOAGRNN in the past in the link http://www.flyfoa.com/2014/10/matlab-code-for-foagrnn-in-past.html.

    But i read it over and over again.

    ReplyDelete
    Replies
    1. i read it over and over again. but i couldn't understand the code. because of absence of code documentation/comment. if any one is volunteer, can you help me guys by describing the code and recommendations how to develop estimation model with my data?
      i have 75X18 matrix data to estimate each 75 items with 18
      measurement elements. for each 75 rows I will have 18 inputs to predict the output.

      looking good response from your side.

      Delete