Session: Time Series Prediction – 3 Sessions

 

Organizer:

Byoung - Tak Zhang

Artificial Intelligence Lab (SCAI)

Department of Computer Engineering

Seoul National University

Seoul 151-742, Korea

Phone: +82-2-880-1833; fax: +82-2-883-3595

btzhang@scai.snu.ac.kr

http://scai.snu.ac.kr/~btzhang

http://scai.snu.ac.kr/~btzhang/conferences/cec99/index.html

 

 

  1. Shu-Heng Chen and Chun-Fen Lu: Would Evolutionary Computation Help in Designs of Artificial Neural Nets in Forecasting Financial Time Series?
  2.  

  3. Adelino R. Ferreira da Silva: Evolving Best-Basis Representations
  4.  

  5. E. Gomez-Ramirez, A. Gonzalez-Yunes, and M. Avila-Alvarez: Adaptive Architecture of Polynomial Artificial Neural Network to Forecast Nonlinear Time Series
  6.  

  7. Ch. Hafner and J. Froehlich: Generalized Function Analysis Using Hybrid Evolutionary Algorithms
  8.  

  9. Hitoshi Iba: Using Genetic Programming to Prediction Financial Data
  10.  

  11. Je-Gun Joung and Boung-Tak Zhang: Time Series Prediction Using Committee Machines of Evolutionary Neural Trees
  12.  

  13. Jung-Jip Kim and Boung-Tak Zhang: Heritability of Selection Schemes in GB-Based Time Series Analysis
  14.  

  15. Dong-Wook Lee and Kwee-Bo Sim: Evolving Chaotic Neural Systems for Time Series Prediction
  16.  

  17. Helmut A. Mayer and Roland Schwaiger: Evolutionary and Coevolutionary Approaches to Time Series Prediction Using Generalized Muti-Layer Perceptrons
  18.  

  19. Sathyanarayan S. Rao, Hemanth K. Birru, and Kumar H. Chellapilla: Evolving Nonlinear Time-Series Models Using Evolutionary Programming
  20.  

  21. Bernhard Sendhoff and Martin Kreutz: Variable Encoding of Modular Neural Networks for Time Series Prediction
  22.  

  23. Alaa F. Sheta: Nonlinear Channel Equalization Using Evolutionary Strategy
  24.  

  25. Ikuo Yoshihara, M. Numata, K. Sugawara, S. Yamada, and K. Abe: Time Series Prediction Model Building with BP-like Parameter Optimization