Siberian scientists have calculated the composition of heavy-duty concrete using a neural network
To build this model, scientists used more than four dozen types of concrete of different composition, quality and origin. The recipes of the mixture obtained by the staff of SFU together with artificial intelligence contain more than a dozen varieties of mineral and chemical additives.
- One of the main advantages of the development is the accurate prediction of the properties of the compositions proposed by it and their adaptability to specific weather and climatic conditions, - the university said.
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