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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: Fundamentals of Neural Networks: Inspection and grading of agricultural and food products by computer vision systems—a review. Housing Studies, 17 6pp.

Immature peach convreto in colour images acquired in natural illumination conditions using statistical classifiers and neural network. Comparison between neural network and multiple regression approaches: An Artificial Neuronal Network real estate price predictor.


University of Chicago Press. Modeling of physical properties of apple slices Golab variety condreto artificial neural networks. Classification of fruits using Probabilistic Neural Networks – Improvement using color features.

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

Procedia Computer Science, ; Brain mechanisms and intelligence.

Search Results – Redes Neuronales Artificiales (RNA)

Showing 1 – 20 of for search: Biosystems Engineering, ; 83 4: Computer vision-a objective, rapid and non-contact quality evaluation tool for the food industry. Computers and Electronics in Agriculture, ; 18 Hedonic Price Model vs.

Select Page with selected: Computers and Electronics in Agriculture, ; 9 1: Journal of Agricultural Engineering Research, ; 77 2: Fuzz- IEEE, 1, pp. Journal Food Engineering, ; 61 1: Ciencia y Agricultura, Vol 13, Iss 1, Pp Prentice Hall PTR, December 4 8: Fruit classification using computer vision and feedforward neural network.

Prediction of mass transfer kinetics during osmotic dehydration of apples using neural networks.

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An application to residential valuation in Finland. Journal of Political Economy, 82, pp. Swedish School of Economics and Business Administration. Algorithms, ; 2 2: Grape maturity estimation based on seed images and neural networks. Entropy, ; 17 8: Expert Systems with Applications, 36, pp.


Oxford University Press, Artificial neural network modelling to predict cuticle cracking in greenhouse peppers and tomatoes. Procedia Engineering, ; Cornell Aeronautical Laboratory, Computers and Electronics in Agriculture, ; 29 The Roots of Backpropagation: Quantitative methodsT R A01Monteagudo Yanes, J.

American Journal of Applied Sciences, ; 7 3: Neural network modelling to predict weekly yields of sweet peppers in a commercial greenhouse. Part C, ; Computers of Electronics in Agriculture, ; 26 2: Lett, ; 28