Artificial Neural Networks as a Mathematical Tool for Calculating a Complex Indicator of the Quality of Organizational and Technological Solutions in the Construction of Structural Elements of Multi-Storey Reinforced Concrete Buildings
The aim of the research is to study the basic principles of functioning of an artificial neural network with the subsequent adaptation of the system to solve mathematical problems arising in the calculation of a complex indicator of the quality of organizational and technological solutions in the construction of structural elements of multi-storey reinforced concrete buildings. The article discusses the capabilities of artificial neural networks, the main advantages and applications. A description of the structure and mechanism of action of systems. The basic principles of adapting an artificial neural network to solve problems in the field of calculating a complex indicator of quality of organizational and technological solutions [1] during the construction of structural elements of multi-storey reinforced concrete buildings are formed. The scientific hypothesis is the assumption of the possibility and sufficient reliability of mathematical calculations of a complex indicator of the quality of organizational and technological solutions in the construction of structural elements of multi-storey reinforced concrete buildings using the method of artificial neural networks. At the same time, not only the weight (significance) of each individual parameter is taken into account, but also the mutual influence that strengthens or weakens the effect of a group of parameters on the quality of the structural elements of multi-storey reinforced concrete buildings.