OBLIC: Classification System Using Evolutionary Algorithm
We present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification system whose function is to induce a set of classification rules no hierarchical from a database or training set. The core of the algorithm is a EA with real-coded and Pittsburg...
| Autores: | , , |
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| Tipo de recurso: | capítulo de libro |
| Estado: | Versión publicada |
| Fecha de publicación: | 2001 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/39142 |
| Acceso en línea: | http://hdl.handle.net/11441/39142 https://doi.org/10.1007/3-540-45723-2_78 |
| Access Level: | acceso abierto |
| Palabra clave: | Artificial Intelligence (incl. Robotics) Computation by Abstract Devices Algorithm Analysis and Problem Complexity Neurosciences Neurology Computer Appl. in Life Sciences |
| Sumario: | We present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification system whose function is to induce a set of classification rules no hierarchical from a database or training set. The core of the algorithm is a EA with real-coded and Pittsburgh approach. Each individual is composed by a no fixed classification rules set what split in regions the search space. The fitness of each classification is obtained by means of the exploration of these regions. The result of the tool is the best classification obtained in the evolutionary process. |
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