Journal of Intelligent & Fuzzy Systems - Volume 40, issue 4

Authors: Luo, Qiaoshun | Liu, Xinping

Article Type: Research Article

Abstract: The reasons for credit spreads can be divided into enterprise-specific non-systematic risks and widespread macroeconomic systemic risks. The previous traditional research mainly focused on the perspective of unsystematic risk. However, at present, more and more scholars are beginning to focus on systemic risks. Based on the neural network algorithm, this paper constructs an improved neural network-based corporate bond spread model to explore the impact of macro systemic risks on credit spreads. Based on the multi-factor no-arbitrage model, the linear relationship between the credit spread and the risk premium of each factor is obtained. At the same time, based on previous …research results and observations of the current market reality, this paper identifies five important macroeconomic factors: actual economic output factors, inflation factors, stock market volatility factors, stock market return factors and inter-bank funding factors. The research results show that the model constructed in this paper has excellent performance. Show more

Keywords: Neural network, improved algorithm, corporate bond spread model, model simulation

DOI: 10.3233/JIFS-189497

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6605-6615, 2021

Authors: Wang, Lejie

Article Type: Research Article

Abstract: Since the reform began in our country, with the rapid economic growth in recent years, the income level has grown extremely unequal, and it is difficult for the low-income poor to benefit from the rapid economic growth. The most important prerequisite for the fight against poverty is the accurate identification of the causes of poverty. To date, our country has not reached the level of maturity required to accurately study the causes of poverty in various households. However, with the rapid development of Internet technology and big data technology in recent years, the application of large-scale data technology and data …extraction algorithms to poverty reduction can identify truly poor households faster and more accurately. Compared with traditional machine learning algorithms, there are no machine storage and technical constraints, can use a large amount of data and rely on multiple data samples. Show more

Keywords: Big data mining, machine learning, precision poverty alleviation, performance improvement

DOI: 10.3233/JIFS-189498

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6617-6628, 2021

Authors: Guang, Chen

Article Type: Research Article

Abstract: Artificial intelligence technology has been widely used in all aspects of our life. Similarly, the application of artificial intelligence in the field of construction engineering is a necessary trend in the development of engineering industry, especially in the traditional construction engineering department. Under the background of the times, from the perspective of knowledge, artificial intelligence technology has appeared a huge development, which may have an impact on the employment of Chinese labor force, may create new jobs, or replace traditional jobs. This effect on employment is essential. From the perspective of machine learning and artificial intelligence, this paper reviews the …transformation prospects of engineering industry and the development of agricultural industry in construction industry, and examines the intellectual transformation of individual human capital in Chinese labor force. Show more

Keywords: Machine learning, artificial intelligence, construction engineering, migrant workers

DOI: 10.3233/JIFS-189499

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6629-6640, 2021

Authors: Fucheng, Tan

Article Type: Research Article

Abstract: As we enter the 21st century, with the rapid development of information technology and advanced manufacturing technology and the rapid development of intelligent manufacturing in China, the national investment in intelligent manufacturing research has increased greatly. And in this field to establish research projects; our intelligent manufacturing has been in-depth development of the moment. Assessing the financial performance of a company is to assess the profitability, sustainability and growth ability of a listed company and plays an important role in reducing investment risk, safety and security. This document assesses the financial performance of intelligent manufacturing enterprises by studying and analyzing …the improvement of financial management model in intelligent manufacturing model and the optimization of cost involved. Based on fuzzy neural network and data generation technology, this helps to improve the competitive advantage of enterprises and achieve sustainable development and change. Show more

Keywords: Fuzzy neural network, data twinning, intelligent manufacturing enterprise, financial performance evaluation

DOI: 10.3233/JIFS-189500

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6641-6653, 2021

Authors: Li, Ma | Wenjie, Shao

Article Type: Research Article

Abstract: Virtual reality emerged as an interactive, dynamic and dynamic technology in the early 1980 s. recently, with the introduction of advanced digital (DT) concept and its application in space, it has great advantages in information integration. virtual integration, real-time dynamic optimization decision-making and so on are helpful to solve these problems. means making full use of physical models and data (product design data, historical run data, service recovery data, etc.) to accomplish tasks. Replicating physical space in virtual space and applying virtual reality and digital mirror image to the production of digital media can help news integrate all content, display the …whole process, avoid problems, close circuits, optimize repeated operations, Make dynamic decisions in real time. The goal is to realize the interaction and integration between the real world environment and the virtual space of the digital environment in order to realize the harmony between the virtual real space in the whole life cycle. Show more

Keywords: Virtual reality technology, digital twinning, digital media, news communication

DOI: 10.3233/JIFS-189501

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6655-6667, 2021

Authors: Ding, Xiaojing | Lu, Qiulan

Article Type: Research Article

Abstract: The construction of construction projects is an important industry of national social and economic development, and price management control is an important part of construction projects, and has become an important factor for major construction companies in China to manage construction projects. At present, the internal construction price management is not the best, nor the most ideal. Few investments exceed the budget, mainly due to defects in effective construction price management, lack of advanced technology and lack of prospects for prepayment, which make it difficult to match the actual and expected results of construction project price management. The actual results …are always unsatisfactory. In this paper, the engineering cost estimation model is studied, and the neural network comprehensive prediction model is established to improve the accuracy and application technology of the prediction model. By using the building of BIM technology and neural network model, and effectively using the price advantage of ICT, it is used in the construction industry, and the cost is strictly controlled, so as to bring huge profits to the enterprise and promote the development of the enterprise. Show more

Keywords: BIM technology, neural network model, construction engineering, cost management

DOI: 10.3233/JIFS-189502

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6669-6681, 2021

Authors: Guo, Jianling | Liu, Jia

Article Type: Research Article

Abstract: This article has been retracted, and the online PDF has been watermarked “RETRACTED”. A retraction notice is available at https://doi.org/10.3233/JIFS-219218 .

DOI: 10.3233/JIFS-189503

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6683-6693, 2021

Authors: Fen, Zhou

Article Type: Research Article

Abstract: In the era of artificial intelligence, the traditional English teaching model can no longer meet the needs of society, and online English teaching has become the main development direction of English teaching in the future. In order to study the efficiency of English online teaching system, based on machine learning algorithms, this paper constructs an efficiency improvement model of English online teaching system. Moreover, in view of the shortcomings of current situation estimation algorithms that cannot coexist in terms of flexibility, causal interpretability and complexity, this paper proposes a biological immune algorithm framework that uses GBDT algorithm coding, which objectively …and accurately shows the spread of the situation. In addition, for the problem that redundant information between features will reduce the accuracy of the framework, this paper proposes a streaming feature selection algorithm based on bagging learning. Finally, this paper designs a control experiment to analyze the performance of the model. The research results show that the model constructed in this paper is highly reliable. Show more

Keywords: Bagging learning, flow feature, feature selection, English online teaching, machine learning

DOI: 10.3233/JIFS-189504

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6695-6705, 2021

Authors: Yunfeng, Guo | Jing, Li

Article Type: Research Article

Abstract: In order to improve the effect of the teaching method evaluation model, based on the grid model, this paper constructs an artificial intelligence model based on the grid model. Moreover, this paper proposes a hexahedral grid structure simplification method based on weighted sorting, which comprehensively sorts the elimination order of candidate base complexes in the grid with three sets of sorting items of width, deformation and price improvement. At the same time, for the elimination order of basic complex strings, this paper also proposes a corresponding priority sorting algorithm. In addition, this paper proposes a smoothing regularization method based on …the local parameterization method of the improved SLIM algorithm, which uses the regularized unit as the reference unit in the local mapping in the SLIM algorithm. Furthermore, this paper proposes an adaptive refinement method that maintains the uniformity of the grid and reduces the surface error, which can better slow down the occurrence of geometric constraints caused by insufficient number of elements in the process of grid simplification. Finally, this paper designs experiments to study the performance of the model. The research results show that the model constructed in this paper is effective. Show more

Keywords: Grid model, artificial intelligence, teaching method, effect evaluation, machine learning

DOI: 10.3233/JIFS-189505

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6707-6717, 2021

Authors: Duan, Yingli

Article Type: Research Article

Abstract: Curriculum is the basis of vocational training, its development level and teaching efficiency determine the realization of vocational training objectives, as well as the quality and level of major vocational academic training. Therefore, the development of curriculum is an important issue. And affect the school’s teaching capacity building. The analysis of the latest developments in the main courses shows that there are some deviations or irrationalities in the curriculum in some colleges and universities, and the general problems of understanding the latest courses, such as lack of solid foundation in curriculum setting, unclear direction of objectives, unclear reform ideas, inadequate …and systematic construction measures, lack of attention to the quality of education. This paper explains the rules for the establishment of first-level courses, clarifies the ideas and priorities of architecture, and explores strategies for building university-level courses using knowledge of artificial intelligence and neural network algorithms in order to gain experience from them. Show more

Keywords: Artificial intelligence, neural network, University Education, First class courses

DOI: 10.3233/JIFS-189506

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6719-6730, 2021