Recognition of heat-conductive filling agents of a thermoelectric refrigeration system with Focused Time — Delay Neural Network

Neural Networks are an information processing paradigm that is inspired from the biological nervous systems, such as the human brain, which process information. In the system we use Focused Time-Delay Neural Network for recognizing heat-conductive filling agents It is composed of a large number of highly interconnected processing elements (neurons) working in symbiosis to solve many kinds of problems. In this paper a system for recognition of heat-conductive filling agents of a thermoelectric refrigeration system with Focused Time-Delay Neural Network is suggested.