Add to ORKGThe work occupy by inverse analysis based on artificial neural network. This identification algorithm enable correct determine parameters of applied material model on creation of numerical model of construction so it's possible that the results of computerized simulation correspond with experiments. It look's like suitable approach especially in cases with complicated problems and complex models with many material parameters
The paper presents an application of the inverse analysis to the identification of two models: a pha...
International audienceArtificial neural networks are widely used to develop models able to predict p...
Inverse methods are a modern alternative technique to traditional standard testi...
The work occupy by inverse analysis based on artificial neural network. This identification algorith...
An Inverse Neural Network approach is proposed to solve inverse problems in the field of material ch...
The paper describes the hybrid computer system dedicated to identification of models of materials su...
The paper describes the hybrid computer system dedicated to identification of models of materials su...
A method is described for inverse modeling of material deformation in applications of importance to ...
Accuracy of numerical models based in finite elements (FE), extensively used for simulation of cutti...
Increasing product requirements in the mechanical engineering industry and efforts to reduce time-to...
Accuracy of numerical models based in finite elements (FE), extensively used for simulation of cutti...
Increasing product requirements in the mechanical engineering industry and efforts to reduce time-to...
Abstract—The parameter identification of nonlinear constitutive model of soil mass is based on an in...
Approximation of constitutive parameters for material models using artificial neural network
International audienceArtificial neural networks are widely used to develop models able to predict p...
The paper presents an application of the inverse analysis to the identification of two models: a pha...
International audienceArtificial neural networks are widely used to develop models able to predict p...
Inverse methods are a modern alternative technique to traditional standard testi...
The work occupy by inverse analysis based on artificial neural network. This identification algorith...
An Inverse Neural Network approach is proposed to solve inverse problems in the field of material ch...
The paper describes the hybrid computer system dedicated to identification of models of materials su...
The paper describes the hybrid computer system dedicated to identification of models of materials su...
A method is described for inverse modeling of material deformation in applications of importance to ...
Accuracy of numerical models based in finite elements (FE), extensively used for simulation of cutti...
Increasing product requirements in the mechanical engineering industry and efforts to reduce time-to...
Accuracy of numerical models based in finite elements (FE), extensively used for simulation of cutti...
Increasing product requirements in the mechanical engineering industry and efforts to reduce time-to...
Abstract—The parameter identification of nonlinear constitutive model of soil mass is based on an in...
Approximation of constitutive parameters for material models using artificial neural network
International audienceArtificial neural networks are widely used to develop models able to predict p...
The paper presents an application of the inverse analysis to the identification of two models: a pha...
International audienceArtificial neural networks are widely used to develop models able to predict p...
Inverse methods are a modern alternative technique to traditional standard testi...