2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) 2017
DOI: 10.1109/rpc.2017.8168080
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Neural network simulation of multidisciplinary processes in thermoelectric devices

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“…They found that the primary obstacles to the widespread use of thermoelectric and Stirling cycle refrigeration were these technologies' lesser efficiency and greater prices as compared to vapor compression refrigeration. Kretinin et al introduced a simulation model for TECs in the ANSYS Program [10]. Shaojing et al [11] created an adaptive proportional-integral-derivative (PID) neural network technique to control the temperature of thermoelectric systems.…”
Section: Introductionmentioning
confidence: 99%
“…They found that the primary obstacles to the widespread use of thermoelectric and Stirling cycle refrigeration were these technologies' lesser efficiency and greater prices as compared to vapor compression refrigeration. Kretinin et al introduced a simulation model for TECs in the ANSYS Program [10]. Shaojing et al [11] created an adaptive proportional-integral-derivative (PID) neural network technique to control the temperature of thermoelectric systems.…”
Section: Introductionmentioning
confidence: 99%