2022
DOI: 10.1155/2022/1332829
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Analysis of Human Resource Allocation Model for Tourism Industry Based on Improved BP Neural Network

Abstract: This paper analyzes the deficiencies of human resource allocation in the tourism industry by investigating the human resource allocation in the tourism industry, puts forward corresponding improvement measures and suggestions, and strives to provide certain guidance and helpful effects for the construction of tourism resource informatization. In this paper, a modified BP neural network model is proposed by introducing random perturbation terms on the hidden layer in the BP neural network algorithm, and the wei… Show more

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Cited by 4 publications
(2 citation statements)
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References 19 publications
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“…is work presents an NN (Neural Network)based campus microblog public opinion emergency forwarding volume prediction model, and it introduces the LSTM (Long Short-Term Memory) model to accomplish accurate forwarding volume prediction [31][32][33].…”
Section: Related Workmentioning
confidence: 99%
“…is work presents an NN (Neural Network)based campus microblog public opinion emergency forwarding volume prediction model, and it introduces the LSTM (Long Short-Term Memory) model to accomplish accurate forwarding volume prediction [31][32][33].…”
Section: Related Workmentioning
confidence: 99%
“…In the theory of human resource management (HRM), how to scientifically carry out human resources (HR) planning is an important topic at present. How to establish and dynamically determine the HR ability elements at all levels to meet the needs of enterprise strategic HR development is an innovative way for enterprises to continuously improve the existing management mode, improve HR efficiency and maximise the potential of talents in business practice [2]. Based on the characteristics of BP neural network in the era of big data, it has the advantages of high fault tolerance, dynamic self-organisation adaptability and independent learning, and is more suitable for the dynamic and complex era of enterprise management than the traditional multiple regression analysis and hierarchical analysis method [3].…”
Section: Introductionmentioning
confidence: 99%