Título

A new supervised learning algorithm inspired on chemical organic compounds

Autor

HIRAM EREDIN PONCE ESPINOSA

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by-nc-nd/4.0

Materias

INGENIERÍA Y TECNOLOGÍA - (CTI) CIENCIAS TECNOLÓGICAS - (CTI) TECNOLOGÍA DE LOS ORDENADORES - (CTI) LENGUAJES ALGORÍTMICOS - (CTI)

Resumen o descripción

In this work, a new supervised learning method called artificial organic networks is proposed for modeling problems, i.e. fitting, analyzing, inference and classification. In fact, this technique is inspired on chemical organic compounds due to their characteristics of stability, encapsulation, inheritance, organization, and robustness. Additionally, this work presentsartificial hydrocarbon networks, a supervised learning algorithm inspired on chemical hydrocarbon compounds and proposed under artificial organic networks technique.

Editor

Instituto Tecnológico y de Estudios Superiores de Monterrey

Fecha de publicación

2013

Tipo de publicación

Artículo

Recurso de información

http://hdl.handle.net/11285/628900

Formato

application/pdf

Idioma

Inglés

Audiencia

Investigadores

Repositorio Orígen

Repositorio Institucional del Tecnológico de Monterrey

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