Una aproximación práctica a las redes neuronales artificiales
Publicado
2017-10-01
Palabras clave
:
- Inteligencia artificial
- Redes neurales (Informática)
Series
Derechos de autor 2017 Programa Editorial Universidad del Valle
Esta obra está bajo una licencia internacional Creative Commons Atribución-CompartirIgual 4.0.
Detalles sobre esta monografía
ISBN-13 (15)
978-958-765-510-0
Cómo citar
(Ed.). (2017). Una aproximación práctica a las redes neuronales artificiales. Programa Editorial Universidad del Valle. https://doi.org/10.25100/peu.64
Autores
Eduardo Francisco Caicedo Bravo
Universidad del Valle
Jesús Alfonso Lopez Sotelo
Universidad Autónoma de Occidente
El propósito general de este libro es ser una guía para que el lector interesado en trabajar con redes neuronales artificiales (RNA), esté en capacidad de solucionar problemas propios de su disciplina usando esta técnica de la inteligencia computacional. La estructura del libro se concibe desde los tipos de aprendizaje, ya que es la característica más importante que poseen las redes neuronales artificiales y en ella radica su principal fortaleza para solucionar y adaptarse a diversos problemas. En este libro se encuentran contenidos teóricos básicos que lo dejarán preparado para afrontar el estudio de libros y artículos de carácter avanzado, acompañado de problemas resueltos que afianzan el saber y el saber hacer.
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Resumen
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Página Legal
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Índice General
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Introducción
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Capítulo 1. Generalidades sobre redes neuronales artificiales.
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Capítulo 2. Redes neuronales perceptron y adaline.
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Capítulo 3. Percetron multicapa y algoritmo backpropagation
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Capítulo 4. Red neuronal de hopfield
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Capítulo 5. Mapas auto-organizados de kohonen
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Capítulo 6. Red neuronal de base radial (RBF)
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Bibliografía
Eduardo Francisco Caicedo Bravo
, Universidad del Valle
Ingeniero Electricista de la Universidad del Valle. Máster en Tecnologías de la Información en Fabricación de la Universidad Politécnica de Madrid y Doctor en Ingeniería de la misma Universidad, en el área de Informática Industrial, España. Profesor Titular y Profesor Distinguido de la Universidad del Valle, Director del Grupo de Investigación Percepción y Sistemas Inteligentes (PSI). Autor de varios libros y artículos científicos, conferencista invitado en eventos nacionales e internacionales y profesor visitante en universidades internacionales. Ha trabajado proyectos con COLCIENCIAS, La Unión Europea, el CYTED, la Confederación Suiza y empresas nacionales. Áreas de Interés: Instrumentación Electrónica, Inteligencia Computacional y Robótica, SmartGrids.
Jesús Alfonso Lopez Sotelo
, Universidad Autónoma de Occidente
Ingeniero electricista, Universidad del Valle, Magíster en automática, Universidad de Valle, Doctor en ingeniería, Universidad del Valle. Trabajó como profesor en la Universidad del Valle, Pontificia Universidad Javeriana y actualmente Universidad Autónoma de Occidente. Ha realizado diversidad de investigaciones en áreas como: Control automático, Aplicaciones de la inteligencia computacional, enseñanza del control automático y de la inteligencia computacional. Es miembro activo del grupo de investigación en Energías: GIEN.
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