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This study is devoted to solving the problem to determine the professionaladaptive capabilities of construction management staff using artificialintelligence systems.It is proposed Fully Connected Feed-Forward Neural Networkarchitecture and performed empirical modeling to create a Data Set. Model ofartificial intelligence system allows evaluating the processes in an FullyConnected Feed-Forward Neural Network during the execution of multi-valueclassification of professional areas. A method has been developed for thetraining process of a machine learning model, which reflects the internalconnections between the components of an artificial intelligence system thatallow it to learn from training data. To train the neural network, a data setof 35 input parameters and 29 output parameters was used; the amount of data inthe set is 936 data lines. Neural network training occurred in the proportionof 10% and 90%, respectively. Results of this study research can be used tofurther improve the knowledge and skills necessary for successful professionalrealization.

Artificial intelligence system based on multi-value classification of fully connected neural network for construction management