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IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING 2023年 9卷 1006-1017页

作者： Qian, Guangzhao Wang, Yong Zhang, Boya Liu, Mingfan Harbin Inst Technol Res Inst Elect Engn Technol Harbin 150001 Peoples R China

Back projection (bp) algorithm is a common imaging algorithm that processes signals in the time domain. It can be used to create a clear image of a stationary target in the bistatic forward-looking synthetic aperture radar (BFSAR) system. However, when a target has a translational velocity or a complex rotation, the motion of the target causes additional range migration and time delay in the echo data. Hence, the bp algorithm cannot obtain high-resolution images of a maneuvering target. In this paper, a novel algorithm of SAbp is proposed, which is an improved bp algorithm based on the simulated annealing algorithm (SAA) to image a uniformly moving target under the BFSAR model. First, the motion parameters of a moving target are linked with those of the BFSAR model through a mathematical derivation. Then, SAA is applied for estimating the motion parameters of the target, which are used to construct the phase compensated factor for the correction of time delay. Finally, the effectiveness of the proposed algorithm is substantiated by the comparisons of the simulation results between the traditional algorithms and the proposed algorithm.

关键词： Simulated annealing algorithm (SAA) bp algorithm bistatic forward-looking synthetic aperture radar (BFSAR) moving target

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Non-destructive testing technology for intelligent identification of foreign objects in cosmetics based on bp algorithm

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JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2023年第3期23卷 1395-1407页

作者： Xu, Jing West Anhui Hlth Vocat Coll Dept Med Technol Luan 237000 Anhui Peoples R China

To solve the problem that the presence of foreign matters in cosmetics will affect the safety and health of consumers and is not conducive to the development of the cosmetics industry, an intelligent identification system for foreign matters in cosmetics is established using the improved bp algorithm. Scan cosmetic samples to identify foreign matters and extract foreign matter features, so as to achieve non-destructive detection of foreign matters in cosmetics. Comparing the traditional bp algorithm, Faster R-CNN algorithm and the improved bp algorithm, the results show that the convergence time of the improved bp algorithm is 60 s and 30 s earlier than that of the traditional bp algorithm and Faster R-CNN algorithm respectively;Whether there is noise or not, the recognition rate of the improved bp algorithm is always higher than that of the traditional bp algorithm and Faster R-CNN algorithm. The accuracy rate of the improved bp algorithm is between 0.88 and 0.96, the accuracy rate of the traditional bp algorithm is between 0.57 and 0.75, and the accuracy rate of the Faster R-CNN algorithm is between 0.76 and 0.81. This shows that the improved bp algorithm can realize the nondestructive detection of foreign matters in cosmetics, ensure a high accuracy and fast speed, and provide consumers with a sense of safe use of cosmetics, it can also improve consumers' satisfaction with the use of cosmetic products.

关键词： bp algorithm neural network cosmetic foreign body intelligent recognition non-destructive testing

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A serialized civil aircraft R&D cost estimation model considering commonality based on bp algorithm

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Chinese Journal of Aeronautics 2022年第4期35卷 253-265页

作者： Yongjie ZHANG Kang CAO Ke LIANG Yongqi ZENG Wenjun DONG School of Aviation.Northwestern Polytechnical University Xi'an 710072China Shanghai Aircraft Design and Research Institute Shanghai 201210China

The common design of serial civil aircraft, an important strategy of modern civil aircraft research and develop-ment, minimizes the whole life cycle cost of civil aircraft through asset reuse and resource sharing. However, the existing estimating model for the R&D cost of civil aircraft ignores the effects of common design, so the value estimated by estimating derivative models is significantly inconsistent with the actual one. To solve this problem, a novel assessment method for civil aircraft commonality indicators is developed based on fuzzy set in the present study, exploiting the attributes and structural parameters of the aircraft to be assessed as input to determine the degree of membership that pertains to the commonality sub-interval as the commonality *** the bp(Back Propagation) neural network algorithm is adopted to establish the relationship between the common index and the decrease rate of the R&D cost of derivative models. The model employs over a dozen typical civil aircraft models(e.g., Boeing, Airbus, and Bombardier) as the sample data for network learning training to build a mature neural network model for estimating the R&D cost of novel derivative models. As revealed from the comparative analysis on the calculated results of the samples, the estimated results of the model given the effects of commonality in the present study exhibit higher estimation accuracy and value for future work.

关键词： bp algorithm Civil aircraft R&D cost Common indicators Fuzzy set Serialized civil aircraft

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Research on the Application of bp algorithm of Neural Network in Teaching Quality Evaluation

Research on the Application of BP Algorithm of Neural Networ...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Nan, Zhang School of Urban Construction and Transportation Hefei University 230601 China

ISBN: (纸本)9798350383348

Teaching quality evaluation is an important link in the field of education, which not only relates to the improvement of teachers' teaching and students' learning effect, but also directly affects the reputation and development of schools. Traditional teaching quality evaluation methods mainly rely on expert review, questionnaire survey and other qualitative analysis, which has some problems such as strong subjectivity, low efficiency and insufficient use of data. With the development of information technology, especially the emergence of neural network technology, it provides a new solution to improve the accuracy and objectivity of teaching quality evaluation © 2024 IEEE.

关键词： Assessment of teaching quality bp algorithm computer education and teaching

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An Improved bp algorithm for Tumor Image Detection 3rd

An Improved BP Algorithm for Tumor Image Detection

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3rd World Conference on Intelligent and 3D Technologies, WCI3DT 2024

作者： Li, Xiang Gong, Junyi Ni, Xiang Lv, Zheng Bethune First Hospital of Jilin University Changchun China

ISBN: (纸本)9789819791231

Tumor image detection is an important technology in the field of medical imaging, which aims to accurately identify and locate the presence of tumors through the analysis and processing of images and provide an important basis for clinical diagnosis and treatment. In today’s society, there is a problem of low accuracy of tumor image detection, which greatly affects the efficiency and accuracy of tumor image detection. The bp algorithm in neural network is an effective tumor image detection technique. In this paper, an image detection system is created by using the bp algorithm, which greatly improves the accuracy of tumor image detection and improves the efficiency of tumor image detection. Finally, the experimental results show that the bp algorithm is easy to operate and the accuracy rate reaches 98.4%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： bp algorithm Efficiency Image detection Neural network Tumor

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Neural Network Prediction of CFG Pile Composite Foundation Bearing Capacity based on bp algorithm

Neural Network Prediction of CFG Pile Composite Foundation B...

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2024 Asian Conference on Intelligent Technologies, ACOIT 2024

作者： Caifeng, Jia Baicheng Vocational and Technical College Jilin Province 137000 China

ISBN: (纸本)9798350374933

In the rapid development of neural network prediction today, the use of big data algorithm means to improve the CFG pile composite foundation bearing capacity has become a trend, in order to be more adaptive to today's development, so that the CFG pile composite foundation bearing capacity to improve the neural network prediction comes along. In the neural network prediction, it is very important to collect and analyses the CFG pile composite foundation bearing capacity. Data mining algorithms cannot accurately collect and analyse the accuracy problem in neural network prediction. As a result, this paper proposes a bp algorithm for data collection and analysis. Firstly, the indicators are divided according to the data collection requirements to reduce the interference factors in data collection. Then, the bp algorithm for neural network prediction data collection results, the formation of the data collection scheme, and the comprehensive analysis of the data collection results. MATLAB simulation shows that in the case of a certain evaluation standard, the bp algorithm for neural network prediction of the data collection accuracy, data collection reliability is better than the data mining algorithm. © 2024 IEEE.

关键词： bp algorithm CFG pile composite foundation bearing capacity data mining algorithm neural network prediction neural network prediction data collection

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A bp algorithm for Intelligent Improvement of User Experience Interaction Design

A BP Algorithm for Intelligent Improvement of User Experienc...

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2024 International Conference on Interactive Intelligent Systems and Techniques, IIST 2024

作者： Wang, Yingqi Kookmin University Seoul Special City02858 Korea Republic of

ISBN: (纸本)9798350374421

Ux interaction design, which originated at the intersection of computer science and cognitive psychology, aims to optimize the interaction between humans and machines to provide a more intuitive and satisfying experience. In today' s society, interaction design has the problem of cumbersome algorithm and low efficiency, which has a great impact on user experience. bp algorithm is an effective neural network algorithm, which can improve interaction design. This paper uses bp algorithm to improve user experience interaction design. Finally, through the experiment, the algorithm greatly reduces the complexity of user experience interaction design, simplifies the algorithm, improves the efficiency, the accuracy rate is up to 98.4%, and finally improves the satisfaction of user experience. bp algorithm and user experience interaction design will be widely used in the future. © 2024 IEEE.

关键词： bp algorithm improvement interaction design neural networks user experience

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Design and Implementation of Infant Mental Health Prediction System Based on bp algorithm 4

Design and Implementation of Infant Mental Health Prediction...

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4th International Symposium on Artificial Intelligence for Medicine Science (ISAIMS)

作者： Ji, Lingling Beijing City Univ Dept Educ Beijing Peoples R China

ISBN: (纸本)9798400708138

5-6 years old is an important period for children to develop good habits, improve physical quality and form healthy psychology. Therefore, kindergarten should pay attention to the selection of teaching content of children's mental health education in the arrangement of education and teaching activities. This paper mainly studies the design and implementation of children's mental health prediction system based on Back Propagation (bp) algorithm. The data of children's mental health were collected through questionnaires to preschool teachers and parents, and the prediction model of children's mental health was constructed by using the data and bp algorithm. Based on the prediction model of children's mental health, combined with system development technology, this paper designs and implements the prediction system of children's mental health. The system can timely observe and predict children's mental health problems, and protect children's development.

关键词： bp algorithm infant psychology mental health prediction system

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Application of Improved RPROP Method and bp algorithm in Music Signal Spectrum Visualization

Application of Improved RPROP Method and BP Algorithm in Mus...

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2023 International Conference on Evolutionary algorithms and Soft Computing Techniques, EASCT 2023

作者： Zeng, Dajun Jiangxi Science and Technology Normal University School of Music Nanchang China

ISBN: (纸本)9798350313413

Music signal spectrum visualization is of great significance in music processing and music information retrieval. In this study, the application effect of the improved RPROP method and bp algorithm in music signal spectrum visualization is discussed, and the performance of the two algorithms is compared. Through the training and evaluation of the music signal dataset, the experimental results show that the improved RPROP method has an accuracy of 0.92, which is better than the bp algorithm's 0.85, and has a lower loss value (0.051 vs 0.078). In addition, the improved RPROP method exhibits faster convergence (2.63s/epoch vs 3.97s/epoch) and shorter training times (16.3s vs 27.8s). This shows that the improved RPROP method has better performance and efficiency in music signal spectrum visualization, which has important practical significance for related applications. © 2023 IEEE.

关键词： bp algorithm improving RPROP method musical signals spectrum visualization

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A novel bp algorithm-based UWB MIMO ground-penetrating imaging system

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MICROWAVE AND OPTICAL TECHNOLOGY LETTERS 2024年第8期66卷 e34281-e34281页

作者： Xu, Huaqiang Li, Xiaoshuang Fan, Yucheng Yu, Xinchang Wang, Yumeng Zhao, Yuefeng Wang, Jingjing Shandong Normal Univ Sch Phys & Elect Jinan Peoples R China

Ultra-wideband (UWB) multiple input multiple output (MIMO) radar has been widely used in detection systems due to its advantages, such as low cost and high data acquisition capability. The detection system is applied in various ground-penetrating applications, including mine detection and earthquake rescue. In this paper, a novel UWB MIMO radar system based on step-frequency continuous wave is designed for underground target detection. To improve the penetration depth and high-range resolution, a new miniature Vivaldi antenna with a bandwidth of 1-3 GHz is designed and integrated into the ground-penetrating imaging system. Furthermore, a multiscale weighted time-domain back projection (bp) algorithm is proposed to suppress artifacts and reduce the computational complexity of the bp algorithm. The designed system is tested by detecting stationary targets. The experimental results agree well with the simulation. The reconstructed images show that the designed MIMO radar system can successfully image underground targets.

关键词： bp algorithm GPR imaging MIMO radar UWB Vivaldi antenna

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