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.

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Computers of Electronics in Agriculture, ; 19 1: Algorithms, ; 2 2: Fuzz- IEEE, 1, pp. American Journal of Applied Sciences, ; 7 3: Prentice Hall PTR, Swedish School of Economics and Business Administration.

Scientia Horticulturae, ; Cornell Aeronautical Laboratory, March 0 Perth, Western Australia, January. Secretariado de Publicaciones de la Universidad de Murcia.

Biosystems Engineering, ; 83 4: Grape maturity estimation based on seed images and neural networks. Inspection and grading of agricultural and food products by computer vision systems—a review. Comparison between neural network and multiple regression approaches: Revista Ciencia y Agricultura; Vol.


Application of neural networks to the color grading of apples. Machine vision based quality evaluation of Iyokan orange fruit using neural networks.

Search Results – Redes Neuronales Artificiales (RNA)

Fundamentals of Neural Networks: Classification of fruits by a boltzmann perceptron neural network, Automatica, ; 28 5: Predictions of apple bruise volume using artificial neural network. Journal Food Engineering, ; Classification of apple surface features using machine vision and neural networks. Journal Food Engineering, ; 61 1: Journal of Agricultural Engineering Research, ; 77 2: Hedonic Price Model vs.

Architectures, Algorithms, and Applications. Entropy, ; 17 8: Journal of Political Economy, 82, pp.

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Ciencia y Agricultura, Vol 13, Iss 1, Pp Apple classification based on surface bruises using image processing and neural networks. Showing 1 – 20 of for search: The Roots of Backpropagation: Optimization of heat treatment for fruit during storage using neural networks aporticadqs genetic algorithms. Computers and Electronics in Agriculture, ; 18 Methodologies, Perspectives, and Applications.


Fruit classification using computer vision and feedforward neural network. Journal Food Process Engineering, ; Land Economics Review; 2 1pp. Apple sorting using artificial neural networks and spectral imaging. Neural network modelling to predict weekly yields of sweet peppers in a commercial greenhouse. Modeling of physical properties of apple slices Golab variety using artificial neural networks.

Continuous real-time monitoring and neural network modeling of apple slices color changes during hot air drying, Food and Bioproducts Processing.