Journal of Intelligent & Fuzzy Systems - Volume 37, issue 5

Authors: Wu, Weiqun | Yin, Bin

Article Type: Research Article

Abstract: The recommendation system is an important means to solve the “information overload” of e-commerce today. Consumer psychology believes that consumer psychology dominates consumer behavior, and consumer behavior is the external manifestation of consumer psychology. Therefore, the personalized recommendation algorithm of user consumption psychology is studied based on the specific perspective of local group-buying e-commerce. By constructing a user social relationship network, the personalized recommendation algorithm is evaluated and the final recommendation result is obtained. A personalized recommendation model is proposed based on multi-dimensional space, which is compared with the existing personalized recommendation model. The simulation results show that the improved …collaborative filtering recommendation method has a large recall rate and accuracy during the daytime. And F value; when the number of recommended results is small at night, the traditional recommendation method has a slightly larger recall rate, accuracy rate and F value, but as the number of recommended results increases, the recommended effects decrease. In general, the proposed method of the recommended algorithm has a good effect. The method proposed in this paper can improve the accuracy of recommendation and partially eliminate the cold start problem of users, which has certain enlightenment for the expansion of personalized recommendation algorithm and the improvement of e-commerce user management. Show more

Keywords: Group purchase, e-commerce users, consumer psychology

DOI: 10.3233/JIFS-179179

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5973-5981, 2019

Authors: Linlin, Yang | Song, Zhang

Article Type: Research Article

Abstract: The development of English teaching mode and students’ speculative ability training mode is slow. In order to improve the quality of English teaching and improve students’ speculative ability, the English teaching mode and the cultivation of students’ speculative ability based on Internet of Things (IoT) are proposed and typical cases are analyzed. The computer data simulation model is used to construct an English teaching innovation model. The model proposes an optimization scheme from the algorithm flow, and uses the data transformation technology to improve the real-time teaching and strengthen the efficiency of teaching management. In order to further improve the …students’ speculative ability in English teaching, the particle swarm optimization algorithm is added to the model to realize the sequence optimization of the data, and the authenticity and efficiency of the particle swarm optimization algorithm in the English teaching model are verified. The test results show that the particle swarm algorithm can self-improve and repair functions, continuously improve the accuracy of the English teaching model, and optimize the teaching method. The research shows that the particle swarm optimization algorithm can improve the quality of English teaching and optimize the architecture, which can provide reference for the future integration of English teaching and computer technology. Show more

Keywords: English teaching, IoT, particle swarm optimization, speculative ability

DOI: 10.3233/JIFS-179180

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5983-5991, 2019

Authors: Runzhao, Yang | Qianni, Cao

Article Type: Research Article

Abstract: With the increasing number of electric vehicles, the location problem of charging stations has been paid more and more attention. It is more efficient and scientific to select electric vehicle charging stations through intelligent algorithms. Aiming at the location selection of electric vehicle charging station based on time satisfaction, a bi-level planning model is constructed for electric vehicle charging station location, and introduces genetic algorithm into the model to scientifically calculate the location of charging station. The candidate data string is extracted by genetic algorithm, and the text candidate string and the image candidate string are obtained. The candidate string …is used as the document attribute to construct the electric vehicle charging station location plan, and then the ideal charging station address is solved. Finally, the method is applied. It is used in the planning analysis of the area near Chaowai Street in Chaoyang District, Beijing. The research results show that the six charging points calculated by the method can meet the demand of the charging vehicles of the residents in the planned area, which is in line with the actual situation of the planned area. This also shows that the double-layer planning model is used for site selection. The research in this paper shows that the genetic algorithm can be effectively used in the location problem, which can improve the efficiency of work and the accuracy of site selection. The relevant conclusions can provide a theoretical reference for the development of site selection. Show more

Keywords: Computer, genetic algorithm, electric car, charging station location

DOI: 10.3233/JIFS-179181

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5993-6001, 2019

Authors: Zhu, Zhang | Tian, Han | Xiaoyang, Yu

Article Type: Research Article

Abstract: The transmission of ECG signal is a key technology of wireless body area network technology center. An ECG emotion classification algorithm based on body area network is proposed. In this method, SV vector function is used to fit ECG signals, and the fitting parameters are obtained. After estimating the channel characteristics, the fixed-point parameters are transmitted. Firstly, the wireless body area network technology is analyzed, because the body area network can deal with long-distance dependence and capture the semantic information of input text. Wireless body area network is used to extract the grammatical features of input text. Then, based on …the wireless field of network technology, the principle of support vector machine (SVM) is proposed. On the basis of the emotion classification model, an algorithm based on speech recognition is constructed, and the input text vector obtained by CNN is used to represent the emotion category of the output layer. Finally, the experimental results show that the algorithm is effective, and the emotional classification model can obtain the highest accuracy in multiple data sets. The results show that the algorithm can not only fit the waveform of ECG emotional signals well, reduce the compression ratio and achieve a certain fitting effect, but also improve the detection and transmission ability of ECG (emotional) ECG signals. Show more

Keywords: Body area network, ECG, emotion classification algorithm

DOI: 10.3233/JIFS-179182

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6003-6011, 2019

Authors: Yi, Zhong

Article Type: Research Article

Abstract: With the rapid development of the IoT, the traditional traffic scheduling optimization model is difficult to adapt to the development needs of emerging services, bringing new challenges and problems to data center management. In order to solve the problem of data traffic management in data center network, a clustering algorithm is constructed to analyze its key technologies. The algorithm divides the data to be observed into a certain number of “class clusters” by some predetermined features, so that the similarity of the data in the cluster is measured by a certain “distance function” within each “class cluster". By analyzing the …RFID automatic radio frequency identification technology, a data classification model based on RFID automatic radio frequency identification technology is constructed. The original data of the unbalanced state is processed based on the hierarchical partitioning method, and the sampling data analysis result is obtained. The results of data training experiments on the model show that for the prediction of a few samples, the prediction of the unbalanced data set has been further improved, and the AUC value has reached 98.72%. Research has provided new ideas for the operation and management of data centers. Show more

Keywords: RFID automatic radio frequency identification technology, data center, algorithm optimization

DOI: 10.3233/JIFS-179183

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6013-6020, 2019

Authors: Hua, Tao | Li, Laixiang

Article Type: Research Article

Abstract: With the rapid development of the Internet, the use of computer networks is becoming more and more frequent. However, in the process of network use, various vulnerabilities and some other factors lead to network security problems occur from time to time. How to make the network provide efficient and rapid services for people and also meet different levels of security issues has become a problem. Based on this, the use of artificial intelligence technology has been studied, and the system detection algorithm based on the concept of artificial intelligence has been proposed. Integrating artificial intelligence into the field of network …security can not only improve the overall performance of the network, but also effectively and reliably guarantee the security. Firstly, according to the characteristics of computer network system, an immune detection algorithm is proposed to evaluate the security of the system. Secondly, based on the analysis of computer network security technology, a system detection algorithm based on artificial intelligence concept is further proposed. Then, data mining is carried out based on Prefix, and the intrusion lines and their correlation are analyzed. Finally, the effectiveness of the algorithm is analyzed experimentally. The results show that the proposed algorithm has good accuracy and adaptability, and can play a good supporting role in the security detection of computer network system. Show more

Keywords: Artificial intelligence, computer network, security technology

DOI: 10.3233/JIFS-179184

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6021-6028, 2019

Authors: Ai, Yi | Pan, Weijun | Yang, Changqi | Wu, Dingjie | Tang, Jiahao

Article Type: Research Article

Abstract:  Along with the rapid increasement of flights and projects of extending and building airports, the probability of flight delays is also increasing. People begin to pay more attention to the prediction of flight delays in a large civil aviation air traffic network. In this paper, we employ a deep learning (DL) model— the convolutional long short-term memory network (conv-LSTM), to address the airport delay prediction in network structure. The spatiotemporal variables including flight delays of airport, air route congestion, airport throughput and flow control are input into an end-to-end learning architecture as a spatiotemporal sequence. The future flight delays in …airport will be output by the model. Experiments show that conv-LSTM possess stronger ability to capture temporal and spatial characteristic than traditional LSTM. Show more

Keywords: Flight delay, civil aviation air traffic network, spatiotemporal distribution prediction, deep learning, convolutional long short-term memory network (conv-LSTM)

DOI: 10.3233/JIFS-179185

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6029-6037, 2019

Authors: Shi, Yongqiang | Liu, Zheng | Chen, Li | Li, Wei

Article Type: Research Article

Abstract: With the development of China’s Internet, wireless network technology has been upgraded, and the rapid development of wireless network technology requires more advanced intelligent information processing technology to match. Therefore, based on the development of wireless network, this paper proposes intelligent tourism Management scheme. Firstly, the Wide & Deep Learning exploratory tourism route recommendation model was constructed. Then the Wide & DSSM exploratory recommendation algorithm combining the traditional recommendation algorithm with the depth model was proposed. Finally, the model and algorithm were tested through experiments. In this paper, the algorithm was used to study the semantic space vectors of both …the user dimension and the Travel line dimension, and the data of the user dimension was fully utilized, which brought a significant improvement to the performance of the recommended system. Show more

Keywords: Wireless network, intelligent tourism, recommendation, tour route

DOI: 10.3233/JIFS-179186

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6039-6046, 2019

Authors: Ju, Luansheng

Article Type: Research Article

Abstract: In the performance of vocal music, the human body noise science is a problem that cannot be ignored. The wrong pronunciation often causes noise diseases. It is necessary to analyze the localization of vocal noise. Based on this article, the research of vocal art performance and human noise science based on wireless sensor system is studied. At first, this article briefly describes the relationship between vocal art performance and human noise, and then puts forward the importance of noise localization. Aiming at the problem of noise localization, several target localization algorithms are proposed. At the same time, these algorithms are …weighted to reduce the complexity and improve the calculation accuracy. The simulation results test confirmed the effectiveness of the target location weighting algorithm without increasing the computational complexity, and the calculation accuracy was significantly improved. Show more

Keywords: Vocal art, human body noise, wireless sensor, noise location

DOI: 10.3233/JIFS-179187

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6047-6054, 2019

Authors: Yang, Ning

Article Type: Research Article

Abstract: The construction of the artificial translation scoring model based on BP neural network has a positive effect on the improvement of college students’ translation performance. In order to promote the application of this kind of system in English teaching in our country, in this study, the author summarized the subjective topic scores in English teaching in our country, and then the author constructed the artificial translation scoring model of BP neural network. Compared with the example application, the comparison results show that the artificial translation scoring system based on BP neural network is more effective than the traditional scoring method. …This study aims to provide reference for the continuous improvement and development of our English language teaching model. Show more

Keywords: Translation, scoring system, BP neural network, artificial translation scoring model

DOI: 10.3233/JIFS-179188

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6055-6062, 2019