Predictive Modelling and Optimisation of Rubber Blend Mixing Using a General Regression Neural Network.
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- Polymers (20734360), 2025, v. 17, n. 13, p. 1868, doi. 10.3390/polym17131868
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- Article
Works matching AU Vršková, Juliána
Results: 5
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Effect of amount of soy protein on properties of elastomeric blends.
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- Continuum Mechanics & Thermodynamics, 2024, v. 36, n. 2, p. 245, doi. 10.1007/s00161-022-01079-7
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- Article
3
Intelligent Modelling of the Real Dynamic Viscosity of Rubber Blends Using Parallel Computing.
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- Polymers (20734360), 2023, v. 15, n. 17, p. 3636, doi. 10.3390/polym15173636
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A Generalized Regression Neural Network Model for Predicting the Curing Characteristics of Carbon Black-Filled Rubber Blends.
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- Polymers (20734360), 2022, v. 14, n. 4, p. 653, doi. 10.3390/polym14040653
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- Article
5
Modelling the Stiffness-Temperature Dependence of Resin-Rubber Blends Cured by High-Energy Electron Beam Radiation Using Global Search Genetic Algorithm.
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- Polymers (20734360), 2020, v. 12, n. 11, p. 2652, doi. 10.3390/polym12112652
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- Article