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

Authors: Xuerui, Cao

Article Type: Research Article

Abstract: The three-dimensional intelligent simulation of image art design is an important means of current image art design, which is affected by many factors. The traditional 3D intelligent simulation technology has certain defects, which leads to certain defects in 3D artwork. This paper builds a three-dimensional art design system based on dynamic image detection and genetic algorithm. The system simulates the actual dehazing method, and this paper proposes a dehazing algorithm suitable for this system and proposes to use bilateral filtering instead of median filtering. Because bilateral filtering has good edge retention, it can eliminate the blockiness caused by median filtering. …Moreover, this paper uses FMM (Fast Marching Method) algorithm to repair the image. In order to verify the performance of the model, this paper conducts quantitative evaluation through system simulation and user satisfaction survey methods. The research results show that the method proposed in this paper has a certain effect and can be applied to practice. Show more

Keywords: Dynamic image, image retrieval, genetic algorithm, three-dimensional image, art design

DOI: 10.3233/JIFS-189567

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7447-7458, 2021

Authors: Wang, Linuo

Article Type: Research Article

Abstract: The current technology related to athlete gait recognition has shortcomings such as complicated equipment and high cost, and there are also certain problems in recognition accuracy and recognition efficiency. In order to improve the efficiency of athletes’ gait recognition, this paper studies the different recognition technologies of athletes based on machine learning and spectral feature technology and applies computer vision technology to sports. Moreover, according to the calf angular velocity signal, the occurrence of leg movement is detected in real time, and the gait cycle is accurately divided to reduce the influence of the signal unrelated to the behavior on …the recognition process. In addition, this study proposes a gait behavior recognition method based on event-driven strategies. This method uses a gyroscope as the main sensor and uses a wearable sensor node to collect the angular velocity signals of the legs and waist. In addition, this study analyzes the performance of the algorithm proposed by this paper through experimental research. The comparison results show that the method proposed by this paper has improved the number of recognition action types and accuracy and has certain advantages from the perspective of computation and scalability. Show more

Keywords: Spectral features, machine learning, athletes, gait recognition, improved algorithm

DOI: 10.3233/JIFS-189568

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7459-7470, 2021

Authors: Wan, Min

Article Type: Research Article

Abstract: The development of the economic system is affected by many factors, and the stability of the traditional economic analysis model is difficult to maintain. In order to explore the efficient and stable economic system evaluation and analysis model, based on machine learning ideas, this study uses rough set algorithm as the basic algorithm, and applies the related methods of rough set and catastrophe model theory to the evaluation of ecological economic development level. Moreover, this study reduces the redundant index of the index system and calculates the importance of the index after reduction. Based on the catastrophe set model, this …study uses MATLAB software programming to comprehensively quantify the ecological economy, and finally divides the ecological economic grade. In addition, this study combines rough set theory with fuzzy mathematics, and initially establishes a two-branch fuzzy evaluation model. Finally, this study combines the actual situation to use the established model to evaluate the regional eco-economic system. The research results show that the method proposed in this paper has a certain effect, which can provide a reference for subsequent related research. Show more

Keywords: Fuzzy set, machine learning, comprehensive evaluation, economic system

DOI: 10.3233/JIFS-189569

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7471-7481, 2021

Authors: Lv, Qiangguo

Article Type: Research Article

Abstract: Multi-agent reinforcement learning in football simulation can be extended by single-agent reinforcement learning. However, compared with single agents, the learning space of multi-agents will increase dramatically with the increase in the number of agents, so the learning difficulty will also increase. Based on BP neural network as the model structure foundation, this research combines PID controller to control the process of model operation. In order to improve the calculation accuracy to improve the control effect, the prediction output is obtained through the prediction model instead of the actual measured value. In addition, with the football robot as the object, this …research studies the multi-agent reinforcement learning problem and its application in the football robot. The content includes single-agent reinforcement learning, multi-agent system reinforcement learning, and ball hunting, role assignment, and action selection in football robot decision strategies based on this. The simulation results show that the method proposed in this paper has certain effects. Show more

Keywords: BP neural network, PID controller, football simulation, simulation model

DOI: 10.3233/JIFS-189570

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7483-7495, 2021

Authors: Lei, Tang | Cai, Zhu | Hua, Luo

Article Type: Research Article

Abstract: Athlete’s heart rate measurement has certain guiding significance for athlete training and competition intensity arrangement. At present, the accuracy and efficiency of the athlete’s heart rate measurement method cannot meet the actual training needs of athletes. In view of this, based on support vector machine, this research combines with improved algorithm to build athlete heart rate measurement model. Moreover, in this study, the denoising algorithm of multi-channel spectral matrix decomposition is used to eliminate the interference factors. The heart rate measurement algorithm based on support vector machine (Mix-SVM) proposed by this paper mainly includes the following parts: preprocessing, preliminary filtering …of motion noise, sparse signal reconstruction model, spectral subtraction, and heart rate spectral peak tracking method based on SVM. In addition, in order to verify the effectiveness of the algorithm in this study, a control experiment is designed to verify the efficiency and accuracy of the algorithm proposed by this study. The research results show that the algorithm proposed by this paper has certain advantages in accuracy and efficiency. Show more

Keywords: Support vector machine, sports, heart rate measurement, simulation model

DOI: 10.3233/JIFS-189571

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7497-7508, 2021

Authors: Juan, Wan

Article Type: Research Article

Abstract: The dynamic and static gesture recognition in the distance education application scenario is not mature enough in theory at present, and still has a large space for development, and the application of gesture recognition in education is relatively insufficient. The purpose of this article is to combine gesture recognition with teacher classroom education and introduce a dynamic gesture recognition method. Moreover, this study introduces the data collection and preprocessing in detail and converts the data of the gesture action area into gray value images, and then uses the improved algorithm to perform classification. In addition, this study designs a control …experiment to analyze the performance of the algorithm in this study and compares the accuracy of algorithm recognition from the perspective of simple background and complex background. The research results show that teaching gesture recognition in distance education can effectively improve education efficiency, with high accuracy, and can be directly applied to the system. Show more

Keywords: Machine learning, virtual reality, distance education, gesture features, feature recognition

DOI: 10.3233/JIFS-189572

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7509-7519, 2021

Authors: Du, Xiaobing

Article Type: Research Article

Abstract: Sports athletes not only exercise fast, but also suffer from the surrounding complex environment. Therefore, the video needs to be sequenced to improve processing efficiency. From the perspective of machine learning, this paper designs a spatial feature extractor based on CNN to extract time series features of sports. Moreover, this paper uses the support vector machine as the basis of the construction model to construct a feature extraction model based on support vector machine and random forest based on different situations. At the same time, this paper collects test data through the sports database and uses the swimming project as …an example to analyze the model performance. Finally, the paper verifies the validity of the model by comparing and verifying methods. The research indicates that the proposed method has certain effectiveness and can provide theoretical reference for subsequent related research. Show more

Keywords: Support vector machine, random forest, time series, feature extraction

DOI: 10.3233/JIFS-189573

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7521-7529, 2021

Authors: Li, Guangqi

Article Type: Research Article

Abstract: The research on the fatigue characteristics of athletes has a certain role in promoting the development of sports. In order to detect fatigue more accurately in the state of human fatigue, this article uses a method of fusing characteristic information of many physiological parameters related to fatigue to design a multi-physical parameter-based exercise fatigue recognition method with high research value and significance. Moreover, this study combines machine learning technology to construct a dynamic fatigue detection system based on BP neural network and multiple physiological parameters. In addition, this study uses samples to construct a BP neural network and achieves dynamic …detection of fatigue through multiple physiological parameters. Finally, by constructing controlled trials, fatigue is predicted. The results show that the predicted output of the fatigue value is in good agreement with the expected output, and the research method has certain practical effects. Show more

Keywords: Machine learning, athletes, fatigue characteristics, exercise simulation

DOI: 10.3233/JIFS-189574

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7531-7542, 2021

Authors: Xu, Xiaoying | Zeng, Zhijian

Article Type: Research Article

Abstract: The regional economic evaluation and analysis has guiding significance for the subsequent economic strategy formulation. Due to the influence of various factors, the volatility of some current economic evaluation models is relatively large. According to the needs of regional economic evaluation, this study uses computer technology combined with regional economic development to build an economic development evaluation model to evaluate and analyze the regional economy. Through comparative analysis, this study selects the entropy weight-TOPSIS model as the comprehensive evaluation model of regional economy, uses the entropy weight method to determine the weight of each index, and then uses the TOPSIS …method to conduct comprehensive evaluation. In addition, this study designs a control experiment to analyze the performance of this study model. Moreover, this study uses the model proposed in this study to conduct regional economic evaluation in recent years, and compares it with real data, and observes the test results with statistical charts and table data. The research results show that this research model has a certain effect, which can provide analytical tools for the follow-up economic strategy research and analysis. Show more

Keywords: Machine learning, regional economy, simulation model, economic evaluation

DOI: 10.3233/JIFS-189575

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7543-7553, 2021

Authors: Wang, Yu

Article Type: Research Article

Abstract: The semantic similarity calculation task of English text has important influence on other fields of natural language processing and has high research value and application prospect. At present, research on the similarity calculation of short texts has achieved good results, but the research result on long text sets is still poor. This paper proposes a similarity calculation method that combines planar features with structured features and uses support vector regression models. Moreover, this paper uses PST and PDT to represent the syntax, semantics and other information of the text. In addition, through the two structural features suitable for text similarity …calculation, this paper proposes a similarity calculation method combining structural features with Tree-LSTM model. Experiments show that this method provides a new idea for interest network extraction. Show more

Keywords: Improved algorithm, TCUSS clustering algorithm, English text, similarity, detection

DOI: 10.3233/JIFS-189576

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7555-7565, 2021