The Use of Backpropagation Artificial Neural Networks in Thermal Tomography

Modern methods of digital thermogram processing and thermal tomography are described. Considered the possibility of applying artificial neural networks in thermal non-destructive testing. Comparison between construction of thermal tomograms by the method of dynamic thermal tomography and tomography using neural networks is given. The efficiency of different architectures of neural networks in the tasks of thermal tomography is analyzed.