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http://hdl.handle.net/20.500.12323/5844
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DC Field | Value | Language |
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dc.contributor.author | Alqudah, Mohammad Ali | - |
dc.date.accessioned | 2022-09-01T11:58:30Z | - |
dc.date.available | 2022-09-01T11:58:30Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Khazar Journal of Science and Technology | en_US |
dc.identifier.issn | 2520-6133 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12323/5844 | - |
dc.description.abstract | Artificial neural networks mirror the behaviour of the human brain, allowing computer programs to recognize patterns and solve common problems in the fields of artificial intelligence, machine learning, and deep learning and from it an attempt to represent human behaviour according to learning algorithms; These artificial networks target cognitive and cognitive activities associated with brain function. The current study aims mainly to reveal the nature of the relationship between human resources and the smart organization through the neural network system and the level of its practices, the neural network resembles the sources of human mental activity as an effective resource in the functional environment, and to identify the most important what these super-intelligent applications can add to organizational behaviour. The data was analyzed using The simulation system for neural networks through mean clustering tests and to indicate the level of influence of inputs and outputs to reach the proposed model, as well as tests of accuracy and performance of the model, the level of error in training neural networks, then the strength of the relationship between layer nodes, the weights of the effect of hidden neurons (layer hidden) and the relative importance The dimensions of the inputs over the outputs of the final model. The results of the study showed that the practice of smart organizations has a greater impact on the human resources elements The study recommended that decision centres should realize the importance of the simulation system in neural networks in providing solutions for to administrative problems because of the time, effort, and money it saves, in addition to the accuracy of the results, in addition to the need to continue to Disseminate and adopt human resources because it is the basis on which to achieve an important strategic competitive advantage and The necessity of compatibility of the objectives set by the Bank with the economies of knowledge, electronic commerce, and mutual communication and innovative knowledge. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Khazar University Press | en_US |
dc.relation.ispartofseries | Vol. 6;№ 1 | - |
dc.subject | neural networks | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | human resource | en_US |
dc.subject | organizational behaviour | en_US |
dc.title | Artificial Intelligence Using a Neural Network System to Support Human Resources in the Workplace | en_US |
dc.type | Article | en_US |
Appears in Collections: | 2022, Vol. 6, № 1 |
Files in This Item:
File | Description | Size | Format | |
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Artificial Intelligence Using a Neural Network System to Support Human Resources in the Workplace.pdf | 519.69 kB | Adobe PDF | View/Open |
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