Artificial neural networks can be used for modeling microwave structures in order to obtain computationally efficient models of investigated systems. In conjunction with proper optimization techniques, these neural models can be explored for an efficient full-wave design of microwave structures. Moreover, neural networks can serve as a direct design tool of microwave systems. In this paper, an overview of the so-far published applications of neural networks in microwaves is presented and their exploration in the full-wave design is discussed. Described neural modeling and design is illustrated by modeling and design of frequency-selective surfaces
This paper presents a new approach to microwave circuit analysis and optimization featuring neural n...
A novel approach to computational microwave optimization is presented, namely, a neural network proc...
International audienceThe design of telecommunication systems is a hierarchical process involving us...
Artificial neural networks can be used for modeling microwave structures in order to obtain computat...
In the paper, an original methodology for the automatic creation of neural models of microwave struc...
Abstract. The paper describes the methodology of the automated creation of neural models of microwav...
In the paper, an original methodology for the automatic creation of neural models of microwave struc...
Neural networks are electronic systems which can be trained toremember behavior of a modeled structu...
Neural network applications in microwave engineering have been reported since the 1990s. Description...
This chapter reviews the intersection of two major CAD technologies for modeling and design of RF an...
The paper describes the exploitation of feed-forward neural networks and recurrent neural networks f...
The usage of techniques of the artificial neural networks (ANNs) in the field of microwave devices h...
An overview of neural network-based modeling techniques and their applications in microwave modeling...
An overview of neural network-based modeling techniques and their applications in microwave modeling...
Neural networks are electronic systems which can be trained to remember behavior of a modeled struct...
This paper presents a new approach to microwave circuit analysis and optimization featuring neural n...
A novel approach to computational microwave optimization is presented, namely, a neural network proc...
International audienceThe design of telecommunication systems is a hierarchical process involving us...
Artificial neural networks can be used for modeling microwave structures in order to obtain computat...
In the paper, an original methodology for the automatic creation of neural models of microwave struc...
Abstract. The paper describes the methodology of the automated creation of neural models of microwav...
In the paper, an original methodology for the automatic creation of neural models of microwave struc...
Neural networks are electronic systems which can be trained toremember behavior of a modeled structu...
Neural network applications in microwave engineering have been reported since the 1990s. Description...
This chapter reviews the intersection of two major CAD technologies for modeling and design of RF an...
The paper describes the exploitation of feed-forward neural networks and recurrent neural networks f...
The usage of techniques of the artificial neural networks (ANNs) in the field of microwave devices h...
An overview of neural network-based modeling techniques and their applications in microwave modeling...
An overview of neural network-based modeling techniques and their applications in microwave modeling...
Neural networks are electronic systems which can be trained to remember behavior of a modeled struct...
This paper presents a new approach to microwave circuit analysis and optimization featuring neural n...
A novel approach to computational microwave optimization is presented, namely, a neural network proc...
International audienceThe design of telecommunication systems is a hierarchical process involving us...