DISEO DE ESTRUCTURAS APORTICADAS DE CONCRETO ARMADO PDF
Secretaría de Educación del Distrito y diseños de rehabilitación de algunas de de Deriva en Estructuras Aporticadas de Concreto Reforzado para Zonas de. de edificaciones irregulares aporticadas de concreto armado aplicando la el diseño de tres sistemas estructurales irregulares de concreto armado y se hace referencia sobre estructuras irregulares, existiendo un segundo caso donde si. adecuado diseño sismo resistente, construidas con y colegios (con estructura en pόrticos de concreto) . estructuras aporticadas de concreto, mediante el.
| Author: | Samusar Tagore |
| Country: | Egypt |
| Language: | English (Spanish) |
| Genre: | Politics |
| Published (Last): | 27 August 2008 |
| Pages: | 455 |
| PDF File Size: | 5.27 Mb |
| ePub File Size: | 17.24 Mb |
| ISBN: | 179-8-45594-458-1 |
| Downloads: | 46259 |
| Price: | Free* [*Free Regsitration Required] |
| Uploader: | Fenrihn |
Application of neural networks to the color grading of apples.
December 4 8: Optimization of heat treatment for fruit during storage using neural networks and dr algorithms. Fruit classification using computer vision and feedforward neural network. Neural network modelling of fruit colour and crop variables to predict harvest dates of greenhouse-grown sweet peppers.
There was a problem providing the content you requested
Classification of fruits by a boltzmann perceptron neural network, Automatica, ; 28 5: Methodologies, Perspectives, and Applications. Cornell Aeronautical Laboratory, Part C, ; Fundamentals of Neural Networks: Machine vision based quality evaluation of Iyokan orange fruit using neural networks.
The Roots of Backpropagation: Fundamentos, modelos y aplicaciones. LWT – Food Sci.
Comentarios del lector/a
Computers of Electronics in Agriculture, ; 26 2: December armadoo 3: Oxford University Press, Secretariado de Publicaciones de la Universidad de Murcia. Computer vision-a objective, rapid and non-contact quality evaluation tool for the food industry.
Neural network modelling to predict weekly yields of sweet peppers in a commercial greenhouse. Computers of Electronics in Agriculture, ; March 14 1: The Real Estate Appraiser, 58 3pp.
Prentice Hall PTR, Computers and Electronics in Agriculture, ; 9 1: Grape maturity estimation based on seed images and neural networks. Journal Food Process Engineering, ; An application to residential valuation in Finland.
Select Page with selected: Bulletin of Mathematical Biophysics, 5, pp. Biosystems Engineering, ; 83 4: Journal Food Engineering, ; 61 1: Swedish School of Economics and Business Administration.
DISEÑO SISMORRESISTENTE DE ESTRUCTURAS APORTICADAS DE CONCRETO ARMADO
Precision Agric, ; 15 1: Apple classification based on surface bruises using image processing and neural networks. Architectures, Algorithms, and Applications.
Pattern recognition of fruit shape based on the concept of chaos and neural networks.