Add to ORKGIn this paper Artificial Neural Network with hidden layers is applied to define a constitutive relation sigma-epsilon in an incremental form. Then ANN is used to describe dependence of effective material parameters of a composite on physical and geometrical characteristics of micro components at the micro-structural level. Using classical tools of homogenisation it is impossible to define such dependences in symbolic manner. These applications are illustrated with an example of superconducting strand for nuclear fusion device
There are a wide variety of microstructural parameters which affect the macro-mechanical response of...
This paper presents an example of the use of an artificial neural network (ANN) for parameter identi...
The study reported in this paper employed Artificial Neural Networks (ANN) to predict the critical f...
In this paper we describe how an Artificial Neural Network (ANN) can be used to approximate and memo...
In this paper we present a combined finite element (FE) \u2013 artificial neural network (ANN) appro...
In this paper we present a combined finite element (FE) - artificial neural network (ANN) approach f...
In this paper we show some different concepts for the use of Artificial Neural Networks [1-4] in mod...
In this paper, we show some different concepts for the use of Artificial Neural Networks in modellin...
In this paper we show some different concepts for the use of Artificial Neural Networks (ANNs) in mo...
In this paper we show some different concepts for the use of Artificial Neural Networks in modeling ...
This chapter explores the use of an artificial neural network (ANN) to obtain the elastic constants ...
Finite element method has, in recent years, been widely used as a powerful tool in analysis of engin...
Metamaterials are a group of materials with artificial engineered structures that exhibits customize...
An application of Artificial Neural Networks for a definition of the effective constitutive law for ...
In this chapter we briefly review the most common methods to obtain equivalent properties and then c...
There are a wide variety of microstructural parameters which affect the macro-mechanical response of...
This paper presents an example of the use of an artificial neural network (ANN) for parameter identi...
The study reported in this paper employed Artificial Neural Networks (ANN) to predict the critical f...
In this paper we describe how an Artificial Neural Network (ANN) can be used to approximate and memo...
In this paper we present a combined finite element (FE) \u2013 artificial neural network (ANN) appro...
In this paper we present a combined finite element (FE) - artificial neural network (ANN) approach f...
In this paper we show some different concepts for the use of Artificial Neural Networks [1-4] in mod...
In this paper, we show some different concepts for the use of Artificial Neural Networks in modellin...
In this paper we show some different concepts for the use of Artificial Neural Networks (ANNs) in mo...
In this paper we show some different concepts for the use of Artificial Neural Networks in modeling ...
This chapter explores the use of an artificial neural network (ANN) to obtain the elastic constants ...
Finite element method has, in recent years, been widely used as a powerful tool in analysis of engin...
Metamaterials are a group of materials with artificial engineered structures that exhibits customize...
An application of Artificial Neural Networks for a definition of the effective constitutive law for ...
In this chapter we briefly review the most common methods to obtain equivalent properties and then c...
There are a wide variety of microstructural parameters which affect the macro-mechanical response of...
This paper presents an example of the use of an artificial neural network (ANN) for parameter identi...
The study reported in this paper employed Artificial Neural Networks (ANN) to predict the critical f...