Research Publications in journals:
ARTIFICIAL ANALYSIS OF MOLECULAR MARKER LOCI LINKED TO TREE RESISTANCE RESPONSE BY AN ARTIFICIAL NEURAL NETWORK
Year:2015
Research Areas
- Artificial intelligence,
- Artificial intelligence (neuronal nets, expert systems, etc),
- Engineering
Information
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Abstract
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| One of the biggest challenges that software developers face is to make an accurate estimate of the project effort. Radial basis function neural networks have been used to software effort estimation in this work using NASA dataset. This paper evaluates and compares radial basis function versus a regression model. The results show that radial basis function neural network have obtained less Mean Square Error than the regression method. | |
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International
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JCR
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No |
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Title
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International Journal "Information Content and Processing", Volume 2, Number 1 |
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ISBN
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23675128 |
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Impact factor JCR
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Impact info
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Volume
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2/2015 |
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Journal number
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From page
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43 |
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To page
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51 |
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Month
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SIN MES |
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Ranking
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Open Access publication
Participants
- Autor: Angel Luis Castellanos Peñuela UPM
- Autor: Juan Bautista Castellanos Peñuela UPM
- Autor: Jorge Fernández Universidad Complutense
Research Group, Departaments and Institutes related
- Creador: Grupo de Investigación: Grupo de Computación Natural
- Departamento: Inteligencia Artificial
- Departamento: Matemática Aplicada