文件名称:XCSR_DE1.0
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- XCS for Dynamic Environments
+ Continuous versions of XCS
+ Test problem: real multiplexer
+ Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts.
+Reference papers:
H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence
H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.-- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous - Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.
+ Continuous versions of XCS
+ Test problem: real multiplexer
+ Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts.
+Reference papers:
H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence
H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.-- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous - Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.
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下载文件列表
XCSR_DE1.0/
XCSR_DE1.0/Classifier.cpp
XCSR_DE1.0/classifier.h
XCSR_DE1.0/declare.h
XCSR_DE1.0/Environment.cpp
XCSR_DE1.0/environment.h
XCSR_DE1.0/GA.cpp
XCSR_DE1.0/ga.h
XCSR_DE1.0/Population.cpp
XCSR_DE1.0/population.h
XCSR_DE1.0/Random.cpp
XCSR_DE1.0/random.h
XCSR_DE1.0/README
XCSR_DE1.0/ReLearningScheme.cpp
XCSR_DE1.0/relearningscheme.h
XCSR_DE1.0/XCSR.cpp
XCSR_DE1.0/Classifier.cpp
XCSR_DE1.0/classifier.h
XCSR_DE1.0/declare.h
XCSR_DE1.0/Environment.cpp
XCSR_DE1.0/environment.h
XCSR_DE1.0/GA.cpp
XCSR_DE1.0/ga.h
XCSR_DE1.0/Population.cpp
XCSR_DE1.0/population.h
XCSR_DE1.0/Random.cpp
XCSR_DE1.0/random.h
XCSR_DE1.0/README
XCSR_DE1.0/ReLearningScheme.cpp
XCSR_DE1.0/relearningscheme.h
XCSR_DE1.0/XCSR.cpp
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