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AMC
2005
191views more  AMC 2005»
13 years 6 months ago
Model identification of ARIMA family using genetic algorithms
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Chorng-Shyong Ong, Jih-Jeng Huang, Gwo-Hshiung Tze...
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
13 years 10 months ago
Solving identification problem for asynchronous finite state machines using genetic algorithms
A Genetic Algorithm, embedded in a simulation-based method, is applied to the identification of Asynchronous Finite State Machines. Two different coding schemes and their associat...
Xiaojun Geng
AEI
1999
110views more  AEI 1999»
13 years 6 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga
BMCBI
2010
108views more  BMCBI 2010»
13 years 6 months ago
A genetic ensemble approach for gene-gene interaction identification
Background: It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases...
Pengyi Yang, Joshua W. K. Ho, Albert Y. Zomaya, Bi...
IEAAIE
1994
Springer
13 years 10 months ago
Using the Genetic Algorithm to Find Snake-in-the-Box Codes
Genetic Algorithms are heuristic search schemes based on a model of Darwinian evolution. Although not guaranteed to find the optimal solution, genetic algorithms have been shown t...
Walter D. Potter, Robert W. Robinson, John A. Mill...