In this paper, a method of determination of thermal properties of multilayer structures using thermal wave measurements and artificial neural networks (ANN) is described. The copper-corundum bondings were examined. The presented method is based on analysis of amplitude and phase characteristics of the photoacoustic signal and usage of ANN for determination of thermal parameters
Photothermal measuring methods enable to analyse near surface zones up to some millimeters below mat...
The main objective of the present work is to develop a methodology to predict the mechanical propert...
Proceeding of: International Conference on Computational Intelligence for Modelling, Control and Aut...
In this paper, a method of determination of thermal properties of multilayer structures using therma...
Photo-thermal depth profiling of metal- ceramics structures using artificial neural network
artificial neural network, thermal properties, invers problem, complex contrastIn this paper, the so...
The objective of this paper is to present methodology of the precise and reliable determination of t...
In this paper, we present an application of artificial neural network (ANN) analysis in the thermovi...
In this paper, a simple multilayer perceptron neural network with forward signal propagation was des...
In this paper, a novel artificial neural network (ANN) based method dedicated to simultaneously esti...
In the paper a method using active thermography and a neural algorithm for material defect character...
Photothermal measuring methods enable to analyse near surface zones up to some millimeters below mat...
In this paper, a method of determination of thermal parameters in a multilayer structure is presente...
The feasibility of a neural network radiometric photothermal depth profiling method is verified usin...
ARCAKLIOGLU, Erol/0000-0001-8073-5207WOS: 000238277200031The temperature distribution influences the...
Photothermal measuring methods enable to analyse near surface zones up to some millimeters below mat...
The main objective of the present work is to develop a methodology to predict the mechanical propert...
Proceeding of: International Conference on Computational Intelligence for Modelling, Control and Aut...
In this paper, a method of determination of thermal properties of multilayer structures using therma...
Photo-thermal depth profiling of metal- ceramics structures using artificial neural network
artificial neural network, thermal properties, invers problem, complex contrastIn this paper, the so...
The objective of this paper is to present methodology of the precise and reliable determination of t...
In this paper, we present an application of artificial neural network (ANN) analysis in the thermovi...
In this paper, a simple multilayer perceptron neural network with forward signal propagation was des...
In this paper, a novel artificial neural network (ANN) based method dedicated to simultaneously esti...
In the paper a method using active thermography and a neural algorithm for material defect character...
Photothermal measuring methods enable to analyse near surface zones up to some millimeters below mat...
In this paper, a method of determination of thermal parameters in a multilayer structure is presente...
The feasibility of a neural network radiometric photothermal depth profiling method is verified usin...
ARCAKLIOGLU, Erol/0000-0001-8073-5207WOS: 000238277200031The temperature distribution influences the...
Photothermal measuring methods enable to analyse near surface zones up to some millimeters below mat...
The main objective of the present work is to develop a methodology to predict the mechanical propert...
Proceeding of: International Conference on Computational Intelligence for Modelling, Control and Aut...