[PDF] Top 20 Nuevas estrategias terapéuticas en la infección por Helicobacter pylori
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Determining the Mechanical Properties of a New Composite Material using Artificial Neural Networks
... The material has been designed to replace wood in the making of structural elements of upholstered furniture (chairs, armchairs, ...the composite material previously presented implies redesigning ... See full document
7
Prediction of Mechanical Properties of to Heat Treatment by Artificial Neural Networks
... and artificial aging (Kashyap et ...feed-forward neural network with the back- propagation (BP) learning algorithm is used much more commonly (Reddy et ...Back-propagation neural networks ... See full document
7
Efficiency of Artificial Neural Networks in Determining Scour Depth at Composite Bridge Piers
... Sensitivity analysis was performed to determine the effect of each parameter on the estimation of the equilibrium scour depth in the composite bridge piers. To do this, the optimal ANN model was re-trained with ... See full document
13
Efficiency of Artificial Neural Networks in Determining Scour Depth at Composite Bridge Piers
... Sensitivity analysis was performed to determine the effect of each parameter on the estimation of the equilibrium scour depth in the composite bridge piers. To do this, the optimal ANN model was re-trained with ... See full document
6
Prediction of Natural Frequency of Laminated Composite Plates Using Artificial Neural Networks
... the artificial neural network ...performed using Design Expert ...The material properties used throughout this study are shown in Table ...form using the following: ... See full document
17
Prediction of Engineered Cementitious Composite Material Properties Using Artificial Neural Network
... However, using complete and sufficient database in ANN models shows perfect prediction of multiple properties with better ...of material can show better ...various mechanical properties ... See full document
36
Predicting the mechanical properties of date palm wood fibre-recycled low density polyethylene composite using artificial neural network
... physical properties of (porosity and density) and hardness of aluminium-copper/silicon car- bide ...the material. Asilturk and Cunkas (2011) used artificial neural network and multiple ... See full document
6
Material Selection For Car Disc Brake Pad Using MCDM Method
... as using natural fibre as alternative for asbestos ...on mechanical properties and wear behaviour of brake pad produced from palm slag, the studies had shown that the hardness, compressive strength ... See full document
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... PREDICTION USING ANN To predict the response variables beyond the scope of experimentation, predictive model such as artificial neural network (ANN) was ...the neural network ...in ... See full document
58
Fabrication and Investigation of Mechnical Properties of Al flyash SiC Composites
... percentage of reinforcement has more effect on the mechanical properties like wear resistance, hardness, tensile strength etc. Fly ash is one of the residues generated in the coal [8]. Silicon carbide is a ... See full document
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Fabrication and Performance Test of Glass-Bamboo Fiber Based Industry Safety Helmet
... cheaper material such as natural fiber like jute, bamboo, rice husk ...polymer composite helmet by using hand layout method. Later the mechanical performances of this helmet have been ... See full document
11
Micro-Mechanical Response Of Continuous And Discontinuous Fiber Composites With Support Of Computational Software
... It was confirmed that the final micro-mechanical response of short (discontinuous) and continuous placed in matrix is different; the reinforcing elements are load carrying elements; the connectivity of matrix and ... See full document
8
Dynamic Mechanical and Thermal Behavior Analysis of Composites Based on Polypropylene Recycled with Vegetal Leaves
... viscoelastic properties evaluation of new polymeric composites allows for analysis of their storage capac- ity and energy dissipation during mechanical ... See full document
66
STUDY OF MECHANICAL PROPERTIES OF COCONUT SHELL PARTICLE AND COIR FIBRE REINFORCED EPOXY COMPOSITE
... cast material and are gold coated to avoid the artifacts associated with sample charging and then placed inside a chamber in which an electron beam is fall on the ... See full document
5
Combined Complex-Valued Artificial Neural Network (CCVANN)
... and using a single, neural network ...for neural network models (SNN) that consist of a combination of the candidate neural ...to using a linear combination of artificial ... See full document
80
Study of Thermo-mechanical Properties of Polypropylene and Low Density Polyethylene Composite Material
... with new properties but also for recycling of ...in properties such as modulus, yield stress, and tensile strength by an appropriate combination of polymer ... See full document
20
Mechanical Properties of Kenaf Fiber Reinforced Composites Using Fem
... the composite leads to changes of fiber ...interphase properties. In the present method, the model is validated using some assumptions because natural fibers are anisotropy, porosity and the ... See full document
34
Fabrication Of Carbon Fibre Bike Mudguard
... This work shows that successful fabrication of a carbon fiber reinforced epoxy composites by simple hand lay-up technique. The product is successfully prepared and it is tested mechanically. And the results of the ... See full document
30
Building lighting energy consumption modelling with hybrid neural-statistic approaches
... Once modelling an ANN model, we must take into account three basic components. First, the synapses of the biological neuron are modelled as weights. Let’s remember that the synapse of the biological neuron is the one ... See full document
9
Research on Classification of E-shopper Based on Neural Networks and Genetic Algorithm
... and neural network etc are usually used to mine e-shopper’s transaction database in order to classify ...And artificial neural network is the important one of the ...fact, neural ... See full document
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