首页|Reports Summarize Machine Learning Research from Bauman Moscow State Technical U niversity (Predicting Diffusion Coefficients in Nafion Membranes during the Soak ing Process Using a Machine Learning Approach)
Reports Summarize Machine Learning Research from Bauman Moscow State Technical U niversity (Predicting Diffusion Coefficients in Nafion Membranes during the Soak ing Process Using a Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news originating from Moscow, Russia, by N ewsRx correspondents, research stated, "Nafion, a versatile polymer used in elec trochemistry and membrane technologies, exhibits complex behaviors in saline env ironments." The news editors obtained a quote from the research from Bauman Moscow State Tec hnical University: "This study explores Nafion membrane's IR spectra during soak ing and subsequent drying processes in salt solutions at various concentrations. Utilizing the principles of Fick's second law, diffusion coefficients for these processes are derived via exponential approximation. By harnessing machine lear ning (ML) techniques, including the optimization of neural network hyperparamete rs via a genetic algorithm (GA) and leveraging various regressors, we effectivel y pinpointed the optimal model for predicting diffusion coefficients. Notably, f or the prediction of soaking coefficients, our model is composed of layers with 64, 64, 32, and 16 neurons, employing ReLU, ELU, sigmoid, and ELU activation fun ctions, respectively."
Bauman Moscow State Technical UniversityMoscowRussiaEurasiaCyborgsEmerging TechnologiesMachine Learning
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