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
- Shu-Heng Chen and Chun-Fen Lu: Would Evolutionary Computation Help in Designs of Artificial Neural Nets in Forecasting Financial Time Series?
- Adelino R. Ferreira da Silva: Evolving Best-Basis Representations
- E. Gomez-Ramirez, A. Gonzalez-Yunes, and M. Avila-Alvarez: Adaptive Architecture of Polynomial Artificial Neural Network to Forecast Nonlinear Time Series
- Ch. Hafner and J. Froehlich: Generalized Function Analysis Using Hybrid Evolutionary Algorithms
- Hitoshi Iba: Using Genetic Programming to Prediction Financial Data
- Je-Gun Joung and Boung-Tak Zhang: Time Series Prediction Using Committee Machines of Evolutionary Neural Trees
- Jung-Jip Kim and Boung-Tak Zhang: Heritability of Selection Schemes in GB-Based Time Series Analysis
- Dong-Wook Lee and Kwee-Bo Sim: Evolving Chaotic Neural Systems for Time Series Prediction
- Helmut A. Mayer and Roland Schwaiger: Evolutionary and Coevolutionary Approaches to Time Series Prediction Using Generalized Muti-Layer Perceptrons
- Sathyanarayan S. Rao, Hemanth K. Birru, and Kumar H. Chellapilla: Evolving Nonlinear Time-Series Models Using Evolutionary Programming
- Bernhard Sendhoff and Martin Kreutz: Variable Encoding of Modular Neural Networks for Time Series Prediction
- Alaa F. Sheta: Nonlinear Channel Equalization Using Evolutionary Strategy
- Ikuo Yoshihara, M. Numata, K. Sugawara, S. Yamada, and K. Abe: Time Series Prediction Model Building with BP-like Parameter Optimization