Practical pattern classification and knowledge discovery problems require selection of a subset of attributes or features (from a much larger set) to represent the patterns to be classified. This paper presents an approach to the multi-criteria optimization problem of feature subset selection using a genetic algorithm. Our experiments demonstrate the feasibility of this approach for feature subset selection in automated design of neural networks for pattern classification and knowledge discovery
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This paper discusses a genetic-algorithm-based approach for selecting a small number of representati...
Practical pattern classification and knowledge discovery problems require selection of a subset of a...
Practical pattern classication and knowledge discovery problems require selection of a subset of att...
Many practical pattern classi cation applications require a careful selection of attributes or featu...
AbstractThis paper presents an evolutionary algorithm based technique to solve multi-objective featu...
AbstractThis paper presents an evolutionary algorithm based technique to solve multi-objective featu...
Abstract: Feature subset selection is a process of selecting a subset of minimal, relevant features ...
This paper proposes the application of a novel bio-inspired algorithm as a search engine to the feat...
We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Co...
We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Co...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This paper discusses a genetic-algorithm-based approach for selecting a small number of representati...
Practical pattern classification and knowledge discovery problems require selection of a subset of a...
Practical pattern classication and knowledge discovery problems require selection of a subset of att...
Many practical pattern classi cation applications require a careful selection of attributes or featu...
AbstractThis paper presents an evolutionary algorithm based technique to solve multi-objective featu...
AbstractThis paper presents an evolutionary algorithm based technique to solve multi-objective featu...
Abstract: Feature subset selection is a process of selecting a subset of minimal, relevant features ...
This paper proposes the application of a novel bio-inspired algorithm as a search engine to the feat...
We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Co...
We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Co...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This article provides an optimisation method using a Genetic Algorithm approach to apply feature sel...
This paper discusses a genetic-algorithm-based approach for selecting a small number of representati...