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Experimental and simulation study of compose panels inelastic behavior using Artificial Neural Networks
(CONSEJO SUPERIOR INVESTIGACIONES CIENTIFICAS-CSIC, 2020)
BEHAVIOR ANALYSIS AND ARTIFICIAL NEURAL NETWORKSANÁLISIS CONDUCTUAL y REDES NEURALES ARTIFICIALES
(Sociedad Mexicana de Análisis de la Conducta / Mexican Society of Behavior Analysis, 2011)
Hybrid Model for Passive Locomotion Control of a Biped Humanoid:The Artificial Neural Network Approach
Developing a correct model for a biped robot locomotion is extremely challenging due to its inherently unstable structure because of the passive joint located at the unilateral foot-ground contact and varying configurations ...
SUPERSTITION IN ARTIFICIAL NEURAl NETWORKS: A CASE STUDY FOR SELECTIONIST APPROACHES TO REINFORCEMENTSUPERSTICIÓN EN REDES NEURALES ARTIFICIALES: UN ESTUDIO DE CASO PARA APROXIMACIONES SELECCIONIST AS AL REFORZAMIENTO
(Sociedad Mexicana de Análisis de la Conducta / Mexican Society of Behavior Analysis, 2011)
Experimental and artificial neural network approach for prediction of the thermal degradation behavior of sugarcane-based vulcanization additives in natural rubber compounds
(2021-12-01)
The use of natural additives in elastomeric compounds is gaining the special attention of researchers and industry due to their potential applications as environmentally friendly compounds and lower cost-related. Another ...
Experimental and artificial neural network approach for prediction of dynamic mechanical behavior of sisal/glass hybrid composites
(2021-01-01)
The dynamic mechanical behavior (storage modulus, loss modulus, and tan δ) of hybrid sisal/glass composites was investigated in the temperature range of 30–210 °C, for two different volume percentages of reinforcement along ...
Analysis of forecasting capabilities of ground surfaces valuation using artificial neural networks
(Abcm Brazilian Soc Mechanical Sciences & Engineering, 2010-04-01)
Industry worldwide has been marked by intense competition in recent years, placing companies under ever increasing pressure to improve the efficiency of their product processes. In addition to efficiency, precision is an ...
Analysis of forecasting capabilities of ground surfaces valuation using artificial neural networks
(Abcm Brazilian Soc Mechanical Sciences & Engineering, 2010-04-01)
Industry worldwide has been marked by intense competition in recent years, placing companies under ever increasing pressure to improve the efficiency of their product processes. In addition to efficiency, precision is an ...
Analysis of forecasting capabilities of ground surfaces valuation using artificial neural networks
(2010-04-01)
Industry worldwide has been marked by intense competition in recent years, placing companies under ever increasing pressure to improve the efficiency of their product processes. In addition to efficiency, precision is an ...
Using an artificial neural network (ANN) for prediction of thermal degradation from kinetics parameters of vegetable fibers
(2021-03-01)
Abstract: Vegetal fibers are prominent reinforcements for polymer composite materials, considering their properties and application possibilities. In particular, thermal degradation behavior is crucial for determining an ...