منابع مشابه
Classifier Systems and Genetic Algorithms
Classifier systems are massively parallel, message-passing, rule-based systems that learn through credit assignment (the bucket brigade algorithm) and rule discovery (the genetic algorithm). They typically operate in environments that exhibit one or more of the following characteristics: (1) perpetually novel events accompanied by large amounts of noisy or irrelevant data; (2) continual, often ...
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We suggest two simple ways to use a genetic algorithm (GA) to design a multiple-classifier system. The first GA version selects disjoint feature subsets to be used by the individual classifiers, whereas the second version selects (possibly) overlapping feature subsets, and also the types of the individual classifiers. The two GAs have been tested with four real data sets: Heart, Satimage, Lette...
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An intense research around classifier fusion in recent years revealed that combining performance strongly depends on careful selection of classifiers to be combined. Classifier performance depends, in turn, on careful selection of features, which could be further restricted by the subspaces of the data domain. On the other hand, there is already a number of classifier fusion techniques availabl...
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The concepts of robust classification and intelligently controlling the search process of genetic algorithm (GA) are introduced and integrated with a conventional genetic classifier for development of a new version of it, which is called Intelligent and Robust GA-classifier (IRGA-classifier). It can efficiently approximate the decision hyperplanes in the feature space. It is shown experime...
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The Dynamic Classifier System extends the traditional classifier system by replacing its fixed-width ternary representation with Lisp expressions. Genetic programming applied to the classifiers allows the system to discover building blocks in a fle~ble, fitness directed manner. In this paper, I describe the prior art of problem decomposition using genetic programming and classifier systems. I t...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 1989
ISSN: 0004-3702
DOI: 10.1016/0004-3702(89)90050-7