Analysis of enterprise site selection and R&amp;D innovation policy based on BP neural network and GIS system

Li, Yonghui; Lipeng, Bai; Cheng, Bo

doi:10.3233/jifs-189041

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Only in this way can they improve the competitive strength of enterprises [10]. Yonghui et al believe that the landscaping information management system integrates modern management theory, database technology, network communication technology, and computer technology to maximize the development and sharing of landscaping information management resources [11]. Huang et al said that at this stage, China's landscaping information management has not reached a high degree of informatization [12].…”

Section: Literature Reviewmentioning

confidence: 99%

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Green City Landscape Design Based on GIS System

Liang

Wang

2022

Security and Communication Networks

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In order to solve the problem of green urban garden landscape design, a green urban garden landscape design method based on GIS system is proposed. This method introduces component GIS and compares three AO-based GIS secondary development modes. Based on the developed solution, comprehensively considering the index evaluation of urban landscaping and its influencing factors, the functional structure of the GIS-based landscaping management information system is designed, and the system requirements are analyzed in detail. It solves the problem that the cost of traditional green urban garden landscape design is too high, and the experiment proves that improving the landscape environment of urban public space has practical value for the research of urban landscape system. Combined with practical application, it is found that the intervention of rainwater landscape can effectively improve the aesthetics and artistry of urban rainwater public facilities. At the same time, the development of GIS and its related technologies (such as database technology and network technology) has also promoted the construction and development of urban landscaping system, which has a great effect on the beautification of the environment, which verifies the validity of the experiment.

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Section: Literature Reviewmentioning

confidence: 99%

“…where, T ij is the travel volume from traffic area i to j, O i and D j are the number of activities in traffic areas i and j, F(d ij ) is the distance attenuation function, A i and B j are the equilibrium coefficients, and their forms are shown in formulas ( 9) and (10). e general expression of the model is shown in formula (11).…”

Section: S � 􏽘mentioning

confidence: 99%

Green City Landscape Design Based on GIS System

Liang

Wang

2022

Security and Communication Networks

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The Modal Analysis of Multifactor Coupling of Regional Industrial Innovation

Liu

Guo

2022

Mobile Information Systems

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In order to maintain the sustainable development of resource-based industrial clusters, research on the coupling relationship between resource-based industrial clusters and regional innovation networks is proposed. Combined with the historical data of 11 typical resource-based cities from 2013 to 2021, the grey relational model is used to measure the correlation between resource-based clusters and regional innovation networks. And the concept of capacity coupling and the capacity coupling coefficient model in physics is used as a reference to obtain the coupling degree model of resource-based industrial clusters and regional innovation networks. The coupling degree model is used to measure the coupling degree of the two, and a reasonable analysis is carried out on the result of the measurement. The results show that there is a correlation between resource-based industrial clusters and regional innovation networks. And the correlation between the two is above 0.65, indicating a strong correlation. The coupling between resource-based industrial clusters and regional innovation networks has entered the subsequent high-level coupling stage from the run-in coupling stage that began in 2013 and continues to maintain a high-level coupling. It is pointed out that cluster governance plans should be formulated according to regional differences and local conditions, so as to guide the transformation and upgrading of resource-based industrial clusters and to avoid the negative impact on the regional economy due to resource exhaustion.

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Evaluation Model of Innovation and Entrepreneurship Ability of Colleges and Universities Based on Improved BP Neural Network

2022

Computational Intelligence and Neuroscience

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Entrepreneurship education activities in colleges and universities play an important role in improving students’ innovation ability. Therefore, this paper has important practical value to evaluate the innovation and entrepreneurship ability of college students. At present, most studies use qualitative research methods, which is inefficient. Even if quantitative analysis is adopted, it is mostly linear analysis, which is inconsistent with the actual situation. In order to improve the application level of genetic algorithm to the innovation and entrepreneurship ability of universities based on BP neural network, this paper studies the evaluation model of innovation and entrepreneurship ability of universities. Based on the simple analysis of the current situation of university innovation and entrepreneurship ability evaluation and the application progress of BP neural network, combined with the actual situation of university innovation and entrepreneurship, this paper constructs the innovation and entrepreneurship evaluation index, uses BP neural network to build the evaluation model, and uses genetic algorithm to optimize and improve the shortcomings of BP neural network. Then, the experimental analysis and application design are carried out. The results show that the improved algorithm is basically consistent with the predicted value, small error, and fast convergence. When it is used in the evaluation of innovation and entrepreneurship ability, quantitative analysis results can be obtained, which provides a certain reference for the development of enterprises.

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Analysis of enterprise site selection and R&D innovation policy based on BP neural network and GIS system

Cited by 3 publications

References 8 publications

Green City Landscape Design Based on GIS System

Green City Landscape Design Based on GIS System

The Modal Analysis of Multifactor Coupling of Regional Industrial Innovation

Evaluation Model of Innovation and Entrepreneurship Ability of Colleges and Universities Based on Improved BP Neural Network

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