The increasing interest among the scientific community on soft computing and optimization techniques in recent years leads to develop effective ad-hoc procedures for electromagnetic structures modelling, often based on evolutionary iterative algorithms. In fact, in most of engineering problems, numerical simulations could be very computationally expensive. An example of this is for instance the design of a complex EM structures with a lot of degrees of freedom. To enhance the speed of the optimization task, in this work the use of Artificial Neural Network is presented as a technique to suitably modelling and optimize complex EM structures
This paper presents a discussion of current neural and evolutionary techniques, applied to the field...
Practical successes have been achieved with neural network models in a variety of domains, inc...
In computational electromagnetism there are manyfold advantages when using machine learning methods,...
The increasing interest among the scientific community on soft computing and optimization techniques...
In this current technological era, engineering design process encounters with multiple complexity a...
Electromagnetic algorithm is a population based meta-heuristic which imitates the attraction and rep...
The date of receipt and acceptance will be inserted by the editor Abstract We study the use of neura...
Neural networks are electronic systems which can be trained toremember behavior of a modeled structu...
In this work a novel approach is presented for topology optimization of low frequency electromagneti...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
In the paper, an original methodology for the automatic creation of neural models of microwave struc...
In recent years, evolutionary algorithms have been successfully adopted for the optimization of vari...
Abstract. The paper describes the methodology of the automated creation of neural models of microwav...
I am responsible for the formulation of preprocessing functions to enhance the efficiency of the sim...
Neuro-genetic systems, a particular type of evolving systems, have become a very important topic of ...
This paper presents a discussion of current neural and evolutionary techniques, applied to the field...
Practical successes have been achieved with neural network models in a variety of domains, inc...
In computational electromagnetism there are manyfold advantages when using machine learning methods,...
The increasing interest among the scientific community on soft computing and optimization techniques...
In this current technological era, engineering design process encounters with multiple complexity a...
Electromagnetic algorithm is a population based meta-heuristic which imitates the attraction and rep...
The date of receipt and acceptance will be inserted by the editor Abstract We study the use of neura...
Neural networks are electronic systems which can be trained toremember behavior of a modeled structu...
In this work a novel approach is presented for topology optimization of low frequency electromagneti...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
In the paper, an original methodology for the automatic creation of neural models of microwave struc...
In recent years, evolutionary algorithms have been successfully adopted for the optimization of vari...
Abstract. The paper describes the methodology of the automated creation of neural models of microwav...
I am responsible for the formulation of preprocessing functions to enhance the efficiency of the sim...
Neuro-genetic systems, a particular type of evolving systems, have become a very important topic of ...
This paper presents a discussion of current neural and evolutionary techniques, applied to the field...
Practical successes have been achieved with neural network models in a variety of domains, inc...
In computational electromagnetism there are manyfold advantages when using machine learning methods,...