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

Authors: Ruifeng, Shi

Article Type: Research Article

Abstract: Due to the explosive increase of data scale, the traditional database management technology can no longer satisfy and analyze these data. Data acquisition technology is a tool that can process data effectively. The research of data acquisition has produced many new concepts and methods, which enrich and improve the data acquisition technology and establish the theoretical system. The relevant extraction criteria are an important branch of data extraction and one of the most important research fields. The use of genetic algorithms to mine related standards has been widely used, but traditional genetic algorithms are easy to be used. Therefore, under …the best conditions, the application of better genetic algorithm to mine the relevant standards is a key problem to be dealt with in this paper. Show more

Keywords: Artificial intelligence, improved genetic algorithm, genetic BP neural network, data mining

DOI: 10.3233/JIFS-189507

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6731-6742, 2021

Authors: Yiran, Liu

Article Type: Research Article

Abstract: With the increase of social development and international communication, more and more Chinese candidates take IELTS test as the basis of study and work. IELTS is more difficult than national CET-4 and CET-6, listening and reading are the process of students “entering” language, they accept it passively; words, writing and translation are students”’ exit “language process, which lays the foundation for” writing “. Writing is a second language and one of the main indicators of students’ ability to use English. It is not only an important way to communicate ideas, emotional expressions and cultural exchanges, but also reflects the language …ability, communication ability and thinking level of English. Therefore, English writing ability is an important index of students’ English professional ability and an important aspect of students’ English professional training. This study identified the following research tasks: according to the established measurement and evaluation indicators, the students’ writing ability was evaluated and the students’ writing ability was evaluated. Show more

Keywords: Machine learning, neural network algorithm, IELTS writing, evaluation index

DOI: 10.3233/JIFS-189508

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6743-6753, 2021

Authors: Ping, Wu

Article Type: Research Article

Abstract: In today’s society, the application of information technology is becoming more and more extensive. At the same time, management accounting, as an important branch of modern accounting, also ushered in new development opportunities, and the research of data mining also pays more attention to the combination of theory and practice. Therefore, data mining can provide some technical support for the implementation of strategic management accounting. Because the most important thing of management accounting informatization is to process, calculate and transmit the business information of the enterprise through the corresponding information processing platform through the use of computer technology, and provide …the corresponding data to the management of the major companies in order to better analyze and make decisions and perfect the future development strategy of the enterprise, so the screening of the corresponding technology is more important in the process of management accounting informatization. Based on the development of artificial intelligence technology and the combination of data mining and XBRL technology, this paper discusses the new strategies of contemporary management accounting development. Show more

Keywords: Artificial intelligence, management accounting, data mining, XBRL technology

DOI: 10.3233/JIFS-189509

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6755-6766, 2021

Authors: Yubo, Cao

Article Type: Research Article

Abstract: With the development of economic globalization, the competition between companies is increasing and becoming a norm. As one of the main value-added tools, financial management has greatly improved its position in business management. Traditional financial management is difficult to keep up with the pace of modern company management, which to a large extent hinders the effective development of enterprises. Therefore, under the current macroeconomic background, the necessity of studying financial management innovation has become more urgent. In this context, seeking innovation is not only a problem for enterprises, but also an important strategic goal of economic development and the concept …of national modern enterprise development. Many studies have been carried out in the field of technological innovation, and few have focused on innovation in financial management. Exploratory research on the factors that affect the choice of financial management mode and route planning is important both in reality and in theory. It can help enterprises to gain greater competitive advantage through innovative financial management and improve their operating efficiency and production quality. This paper is based on learning. A research on the innovation of enterprise financial management is carried out on machine and artificial intelligence technology. Show more

Keywords: Machine learning, artificial intelligence, financial management, innovation optimization

DOI: 10.3233/JIFS-189510

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6767-6778, 2021

Authors: Huafeng, Li

Article Type: Research Article

Abstract: Under the background of the development of the new era, with the arrival of the big data era and the development of computer technology, people are more and more inclined to use data to analyze all kinds of problems encountered in teaching. Different educational data models are constructed through data analysis. By statistics of different educational data and analysis using correlation models, the relationship between different variables and the intensity of interaction in these activities can be determined. Using computer to complete some teaching tasks and construct a certain teaching mode can improve the efficiency of teachers’ teaching and students’ …learning to a certain extent. In the process of discussing the use of computer in classroom teaching, we should analyze how to use computer to carry out new forms of teaching activities and how to evaluate the teaching quality of computer teaching. On the one hand, this paper summarizes the current situation of the development of digital teaching mode in colleges and universities in China; on the other hand, it analyzes the research results of computer teaching by professionals in the new era; Finally, the knowledge of data mining is expounded. Show more

Keywords: Data mining, web database, cloud computing network, smart campus

DOI: 10.3233/JIFS-189511

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6779-6789, 2021

Authors: Weimin, Ouyang

Article Type: Research Article

Abstract: In order to improve the evaluation effect of classroom education, this paper proposes the MFO intelligent optimization algorithm based on the idea of machine learning, and builds the classroom education effect evaluation model based on the MFO intelligent optimization algorithm. Moreover, this paper uses a logarithmic spiral to simulate the path of the moth to the flame and invert the pending parameters in the mathematical model, and adds vertical and horizontal algorithms and chaos operators on this basis. The crisscross algorithm allows different moth individuals and the same moth to perform cross calculations with different computing dimensions to increase the …diversity of moth populations, so that moths in the search space can traverse the entire search space as much as possible to find a better solution. Moreover, in view of the problems of BP neural network such as low fitting accuracy, this paper applies the CCMFO algorithm to improve the BP neural network to form the CCMFO-BP algorithm, and improves the weight and threshold update process of the BP neural network to make the network operation more efficient and accurate. Finally, this paper designs experiments to analyze the performance of the model constructed in this paper. The research results show that the model constructed in this paper meets the expected requirements. Show more

Keywords: MFO intelligent optimization algorithm, classroom education, effect evaluation, machine learning

DOI: 10.3233/JIFS-189512

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6791-6802, 2021

Authors: Tang, Hongyuan | Liao, Guiping

Article Type: Research Article

Abstract: At present, people’s living standard and consumption level are increasing day by day, the demand for edible oil crops is increasing. As the main source of oil crops, rape needs to use more accurate management and cultivation techniques, change backward technology, increase overall yield, and ensure the supply of oil crops. By means of artificial intelligence, the spectral segments of plants were analyzed to determine the species of light and the nutrients produced by plants, the monitoring of development and the prediction of crop yield. According to the spectral information of plant absorption and reflection, the chlorophyll level contained in …plants can provide data support for rape planting and management, and monitor the real-time status of its growth and development. Mastering the nutrition and demand of rape in the whole process of growth and reproduction is very beneficial to the management and yield improvement of rape. And can adjust the cultivation method in time, play the advantage of hyperspectral technology. Show more

Keywords: Artificial intelligence, Rape, Agronomic parameters, Spectral vegetation index

DOI: 10.3233/JIFS-189513

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6803-6813, 2021

Authors: Renjie, Zhu | Chunming, Ye | Lumin, Fan | Wei, Chen

Article Type: Research Article

Abstract: Nowadays, science and technology are developing, more and more things need to be detected by science and technology, and the content that people need to understand is becoming more and more complex. Not only need to know its size, but also need to know some of the relevant comprehensive information or internal information. At present, people’s demands can no longer be met only by existing medical systems, so data fusion technology has emerged. This technology can simultaneously obtain a variety of information, express various information, seek the internal relationship between various information, and comprehensively process and improve this relationship. In …view of the existing medical equipment, this paper puts forward the design method of multi-sensor data fusion technology. The original whole system is decomposed into several small particles and extracted from the original system. The extracted particles are arranged independently and the neural network system is formed. On the basis of neural network computing and implementing network feature service, this paper introduces how to establish a new medical equipment system based on network registration, discovery and various management and fault-tolerant conditions. This article is a community-oriented, long-distance service intelligent system based on family health care, designed on network processors and Android systems. By combining various technologies, collecting various body information parameters of patients, under the guidance of network protocol and existing remote technology, the gateway of intelligent home can talk to the community to a certain extent. In this way, the data collected in smart homes can be uploaded to other communities through the community network. Show more

Keywords: Multi-sensor data fusion, neural network, real-time operating system, telemedicine

DOI: 10.3233/JIFS-189514

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6815-6825, 2021

Authors: Bo, Li

Article Type: Research Article

Abstract: In today’s society, graphic design, as a popular image processing technology, plays an increasingly important role in people’s lives. In the specific operation process of graphic design, It is no longer restricted to the traditional development mode, such as file format and other factors. With the development of computer network technology, people promote the development of graphic design by constructing color management system. At the same time, the construction of color management system can help people to change colors and define colors when they process image information and output pictures. In the process of printing pictures, in order to make …the colors used in the design process clearly printed out and without color difference, there are still many problems to be considered. First, we need to consider the unexpected situation and the complexity of image processing. Based on the introduction of computer learning, this paper will discuss and study the development of graphic design by SVM theory. Show more

Keywords: Machine learning, SVM, color image design, image processing

DOI: 10.3233/JIFS-189515

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6827-6838, 2021

Authors: Jingbo, Jin

Article Type: Research Article

Abstract: The communication energy efficiency of the English intelligent learning system is affected by many factors. In order to improve the system operation efficiency, it is necessary to carry out analysis from the perspective of the mobile edge server and the system structure. However, there are still many research gaps and deficiencies. Based on a dynamic and heterogeneous English intelligent learning system, this paper designs an adaptive offloading decision algorithm ADCO and an online spring slide task scheduling algorithm SSLS. Moreover, this paper has proposed corresponding solutions to the computational offloading problem and online scheduling problem in a dynamic environment and …compared and analyzed the performance of this research algorithm through simulation experiments. The research results show that the method proposed in this paper has certain effects. Show more

Keywords: Reinforcement learning, artificial intelligence, machine learning, resource allocation

DOI: 10.3233/JIFS-189516

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6839-6852, 2021