In this paper, the application of neural networks technique particularly the Hopfield Neural Network in ordinary finite element analysis is presented. Due to its main property of minimizing the energy stored in the network, the Hopfield Neural Network can easily find application in finite element analysis. Two specific applications of the Hopfield Neural Network will be discussed : First, for obtaining the solution of finite elements analysis directly, and second, for obtaining the solution of inverse optimization problems also in onnection wuth finite elements analyses, The main and some basic mathematical calculus, as far as some examples of the applications, are also presented
A new finite element analysis principle based on neural networks is proposed. It can realize the fin...
This paper presents a discussion of current neural and evolutionary techniques, applied to the field...
The problem of classifying measured one-dimensional relations (e.g. stress-strain laws, moment-rotat...
In this paper, the application of neural networks technique particularly the Hopfield Neural Network...
The application of artificial neural network technique and particularly the Hopfield neural network ...
The applicaion of artificial neural network technique and particularly the Hopfield neural ...
One property of the Hopfield neural network is the monotonous minimization of energy as time proceed...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
In this paper, the possible applications of the Artificial Intelligence to some of the problems whic...
[[abstract]]The Hopfield neural network (HNN) is one major neural network (NN) for solving optimizat...
Finite element method has, in recent years, been widely used as a powerful tool in analysis of engin...
Hopfield neural networks and interior point methods are used in an integrated way to solve linear op...
Abstract- Hopfield neural networks and interior point methods are used in an integrated way to solve...
In this paper, a hybrid method for inverse optimization of electromagnetic coils utilizing the multi...
It is shown that a Hopfield neural network (with linear transfer functions) augmented by an addition...
A new finite element analysis principle based on neural networks is proposed. It can realize the fin...
This paper presents a discussion of current neural and evolutionary techniques, applied to the field...
The problem of classifying measured one-dimensional relations (e.g. stress-strain laws, moment-rotat...
In this paper, the application of neural networks technique particularly the Hopfield Neural Network...
The application of artificial neural network technique and particularly the Hopfield neural network ...
The applicaion of artificial neural network technique and particularly the Hopfield neural ...
One property of the Hopfield neural network is the monotonous minimization of energy as time proceed...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
In this paper, the possible applications of the Artificial Intelligence to some of the problems whic...
[[abstract]]The Hopfield neural network (HNN) is one major neural network (NN) for solving optimizat...
Finite element method has, in recent years, been widely used as a powerful tool in analysis of engin...
Hopfield neural networks and interior point methods are used in an integrated way to solve linear op...
Abstract- Hopfield neural networks and interior point methods are used in an integrated way to solve...
In this paper, a hybrid method for inverse optimization of electromagnetic coils utilizing the multi...
It is shown that a Hopfield neural network (with linear transfer functions) augmented by an addition...
A new finite element analysis principle based on neural networks is proposed. It can realize the fin...
This paper presents a discussion of current neural and evolutionary techniques, applied to the field...
The problem of classifying measured one-dimensional relations (e.g. stress-strain laws, moment-rotat...