Journal of Intelligent & Fuzzy Systems - Volume 39, issue 2

Authors: Bin, Jiang | Tianli, Xiong

Article Type: Research Article

Abstract: This paper analyses the significance and methods of foreign trade export forecasting. The index system of foreign trade export forecasting is determined based on the analysis of foreign trade export forecasting research results. The concepts and principles of artificial neural network and fuzzy system theory are expounded, and their respective advantages and disadvantages as well as their complementarities are analyzed. This paper introduces the types and training algorithms of evolutionary morphological neural network, combines the neural network with the fuzzy system theory, and establishes the prediction model. Finally, the evolutionary morphological neural network model is applied to the prediction of …foreign trade export in view of the characteristics of export and considering the influence of various factors, the whole process of establishing evolutionary morphological neural network forecasting model is introduced in detail, and the change range of export is predicted, and the ideal forecasting results are obtained. Show more

Keywords: Fuzzy system theory, evolutionary form, neural network, foreign trade, competitiveness analysis

DOI: 10.3233/JIFS-179944

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1701-1709, 2020

Authors: Chan, He | Nai-He, Yan

Article Type: Research Article

Abstract: A pretreatment method of industrial saline wastewater based on Artificial Intelligence based fuzzy neural network analysis was proposed to improve the pretreatment accuracy of industrial saline wastewater. This method uses a four-layer AI fuzzy neural network model and proposes a graded fuzzy neural network model for pretreatment method of industrial saline wastewater, it includes input layer, fuzzification layer, fuzzy logical layer and output layer, and designs the framework and calculation mode of the fuzzy function block and the neural network module. Finally, the dynamic simulation experiments of dissolved oxygen control in the fifth zone and nitrate nitrogen control in the …second zone are carried out based on the simulation benchmark model (BSM1) platform. The experimental results show that this approach can effectively raise the adaptive control accuracy of the system compared with PID, feed forward neural network and conventional recurrent neural network. Show more

Keywords: Similarity, fuzzy neural network, saline sewage, pretreatment

DOI: 10.3233/JIFS-179945

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1711-1720, 2020

Authors: Yin, Meng

Article Type: Research Article

Abstract: It is of great significance to explore the prospects of English intelligent learning in the field of basic education and to understand the current status and practical needs of mobile learning technology. Based on the intelligent English learning and teaching needs, this study constructs an intelligent English learning system based on improved neural network. The system uses wavelets to replace the neurons in the traditional neural network, establishes the connection between the wavelet transform and the network coefficients through affine transformation, and uses the wavelet neural network to correct the network parameters, so as to avoid the problem of being …partially optimal due to the sensitivity of the initial value to some extent. Moreover, the English learning system adopts a mature C/S structure, and the system is divided into two parts and four layers. In addition, this study designed the experiment to analyze the performance of the English learning system, set the experimental group and the control group to conduct practical analysis. The research results show that the system constructed in this paper has certain effects and can provide theoretical reference for subsequent related research. Show more

Keywords: Neural network, improved algorithm, intelligent platform, English learning, system construction

DOI: 10.3233/JIFS-179946

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1721-1731, 2020

Authors: Haiyan, Zhang | Bo, Zheng | Haojun, Zu

Article Type: Research Article

Abstract: The current music education information has certain information loss in the real-time transmission process, which leads to poor educational effect. The research content of this thesis is based on FPGA video image acquisition and processing system. At the same time, this research mainly uses FPGA as the platform to realize and simulate video acquisition, transformation, storage, display and transmission. This research solves the problem of long-distance real-time transmission of high-definition video stream, and in order to improve the subjective quality of the recovered video at the receiving end, the algorithm processing is added to reduce the blockiness phenomenon in the …video displayed at the receiving end. Finally, the validation test was designed to validate the research perspective. The experimental results show that the system works stably and realizes the functions of video image acquisition, conversion, display and transmission, and achieves the design goal. However, due to time constraints and other conditions, the entire design needs further improvement, so that it can provide a basis for the development of subsequent music education information communication technology. Show more

Keywords: SVGA video, real-time communication technology, music education information, feature extraction

DOI: 10.3233/JIFS-179947

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1733-1744, 2020

Authors: Wu, Jierong | Chen, Baodi

Article Type: Research Article

Abstract: Online education has become an important way of learning English at present, and English vocabulary teaching can improve the efficiency of English vocabulary teaching through target visual detection. However, from the existing research, it can be seen that there are still some shortcomings in English vocabulary recognition. In order to improve the English vocabulary recognition effect, based on machine learning recognition technology, this study combines English vocabulary recognition needs of online education to construct an English vocabulary detection model based on convolutional neural network. The model takes the word’s overall feature as the feature extraction principle and adopts the analysis …and extraction of the joint segment feature. Moreover, it discards the complicated process of first dividing a single letter and then performing feature extraction and recognition. In addition, this study design example tests to perform algorithm performance analysis. The experimental results show that the proposed algorithm model has certain effects, and it can be used as an auxiliary algorithm for online English vocabulary teaching. Show more

Keywords: Machine learning, target recognition, target vision, English vocabulary, teaching method

DOI: 10.3233/JIFS-179948

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1745-1756, 2020

Authors: Li, Huiyan

Article Type: Research Article

Abstract: When the English teaching text is regarded as the ontology, it must involve how to describe the attribute effectively. However, in the current research, the research on the automatic extraction of labels for English teaching texts is still insufficient. Intelligent English teaching has become an inevitable trend in the development of future English teaching models, so it is necessary to cooperate with intelligent text recognition technology. Based on SVM, this study applies convolutional neural network algorithm to text recognition of English teaching content, and effectively recognizes text features. After feature extraction, the original text content has been changed into data …that the machine can directly identify and analyze, and semantic analysis is performed. In order to verify the performance of the algorithm, the performance of the algorithm was analyzed by example verification. It can be seen from the results that the proposed method has a certain accuracy rate and can be applied to the text recognition classification of English teaching content and can provide reference direction for related research. Show more

Keywords: Machine learning, convolutional neural network, english teaching content, text recognition, text classification

DOI: 10.3233/JIFS-179949

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1757-1767, 2020

Authors: Fei, Xianju | Tian, Guozhong

Article Type: Research Article

Abstract: At present, the automatic attendance mode of distance education is not conducive to the confirmation and analysis of information after class. In order to study the effective automatic recognition algorithm of remote education classroom, this study takes the educational classroom of intelligent innovation and entrepreneurship of Internet + as an example for analysis. Moreover, this paper adopts facial features as the basis of recognition, establishes corresponding positioning points, and constructs precise positioning methods for real-time feature capture. At the same time, the ASM algorithm is used to extract facial features, and the algorithm is improved to improve the extraction effect. In addition, …this paper proposes Gabor-wavelet packet set and Gabor beamlet set for auxiliary recognition, which improves the recognition rate. Finally, this paper designs experiments to analyze the performance of the algorithm of this study. The results show that the proposed algorithm has certain practical effects and can provide theoretical reference for subsequent related research. Show more

Keywords: Feature recognition, automatic identification, personnel management, machine learning algorithms

DOI: 10.3233/JIFS-179950

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1769-1777, 2020

Authors: Hao, Kelei

Article Type: Research Article

Abstract: In multimedia English teaching, learners face such an indifferent computer screen without emotion and feel the fun of interaction and emotional stimulation, which will cause resentment and affect the learner’s learning effect. In order to improve the efficiency of multimedia English teaching, aiming at the lack of emotion in multimedia English education, this study proposes an intelligent network teaching system model based on deep learning speech enhancement and facial expression recognition. Moreover, this study uses emotional calculation as the theoretical basis and uses facial expression recognition as the core technology to judge and understand the emotional state by capturing and …recognizing the facial expressions of online learners. In addition, this study has carried out experimental tests on the effect of the identification method of this paper and verified that the method has good detection effect on the real smile micro-expressions through two sets of experiments and can provide theoretical reference for subsequent related research. Show more

Keywords: Deep learning, multimedia english, emotion, expression recognition, feature recognition

DOI: 10.3233/JIFS-179951

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1779-1791, 2020

Authors: Jing, Leng | Bo, Zhu | Tian, Qingxiang | Xu, Wei | Shi, Jiaoxue

Article Type: Research Article

Abstract: The current online education platform has gradually replaced the traditional teaching mode and has become an efficient teaching method. Flipping classroom is a new teaching mode under the background of the rapid development of information technology. It is also an important way of multimedia network teaching. However, compared with the traditional teaching mode, teachers in the online teaching platform cannot judge the students’ psychological activities through the students’ state of mind, and they can grasp the students’ learning status through the teaching process. Based on this, based on the cloud computing platform, this study improves the data transmission effect and …improves the algorithm according to the learning process of the online education platform. Moreover, this study combines support vector machine to construct a student state recognition system suitable for online education platform and conducts algorithm performance analysis through experiments. In addition, this study uses MKmeans algorithm, Kmeans algorithm and improved Kmeans algorithm, that is, K-mediods and Xmeans algorithm to compare the pre-processed final data sets. The research results show that the proposed algorithm is suitable for network teaching platform and has certain practical effects. Show more

Keywords: Cloud computing, improved SVM algorithm, support vector, Network teaching, flipping classroom

DOI: 10.3233/JIFS-179952

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1793-1803, 2020

Authors: Zhang, Fan

Article Type: Research Article

Abstract: At present, applying image recognition technology to promote English teaching is a kind of teaching innovation that meets the needs of the times. Therefore, based on machine learning neural network and image super-resolution, this study conducted an innovative analysis of English teaching mode. This paper combined the current situation of English teaching classroom to study and analyze English classroom, combined classroom characteristics as the basis of English teaching innovation and constructed a feature recognition model suitable for current English teaching status. Moreover, this paper formed an initial high-resolution image for low-resolution image reconstruction by sparse representation method, and then established …a mixed sample spine regression model to re-estimate the high-frequency components of the initial high-resolution image to realize various behavioral characteristics of students in English teaching classroom. In addition, this article builds a verification test. The research shows that the proposed algorithm has certain effects and can provide theoretical reference for subsequent related research. Show more

Keywords: Machine learning, neural network, image super-resolution, english teaching, innovation

DOI: 10.3233/JIFS-179953

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1805-1816, 2020