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Decoupling Research of a Novel Three-Dimensional Force Flexible Tactile Sensor Based on an Improved bp algorithm

MICROMACHINES 2018年第5期9卷 236-236页

作者： Song, Yang Wang, Feilu Zhang, Zhenya Anhui Jianzhu Univ Sch Elect & Informat Engn Hefei 230601 Anhui Peoples R China Anhui Univ Sch Elect & Informat Engn Hefei 230601 Anhui Peoples R China Anhui Jianzhu Univ Anhui Key Lab Intelligent Bldg Hefei 230022 Anhui Peoples R China

Decoupling research on flexible tactile sensors play a very important role in the intelligent robot skin and tactile-sensing fields. In this paper, an efficient machine learning method based on the improved back-propagation (bp) algorithm is proposed to decouple the mapping relationship between the resistances of force-sensitive conductive pillars and three-dimensional forces for the 6 x 6 novel flexible tactile sensor array. Tactile-sensing principles and numerical experiments are analyzed. The tactile sensor array model accomplishes the decomposition of the force components by its delicate structure, and avoids direct interference among the electrodes of the sensor array. The force components loaded on the tactile sensor are decoupled with a very high precision from the resistance signal by the improved bp algorithm. The decoupling results show that the k-cross validation (k-CV) algorithm is a highly effective method to improve the decoupling precision of force components for the novel tactile sensor. The large dataset with the k-CV method obtains a better decoupling accuracy of the force components than the small dataset. All of the decoupling results are fairly good, and they indicate that the improved bp model with a strong non-linear approaching ability has an efficient and valid performance in decoupling force components for the tactile sensor.

关键词： tactile sensor array three-dimensional force tactile sensing deformation decoupling method bp algorithm

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COMPARISON OF SVM algorithm AND bp algorithm: STUDY ON THE EVALUATION INDEX SYSTEM OF SCIENTIFIC RESEARCH PERFORMANCE OF VOCATIONAL COLLEGES

ITALIAN JOURNAL OF PURE AND APPLIED MATHEMATICS

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ITALIAN JOURNAL OF PURE AND APPLIED MATHEMATICS 2018年第40期 244-255页

作者： Feng, Jiayin Jia, Dongyan Cui, Li Cao, Jing Lin, Zhuo Zhang, Min Hebei Normal Univ Sci & Technol Qinhuangdao Haigang Dist 066000 Heibei Peoples R China

As the education in China develops rapidly, the scientific research of higher vocational education has gradually drawn extensive attentions. In order to construct a reasonable evaluation model of scientific research performance to further enhance the research enthusiasm of teachers, this study constructed a model based on relevant theories of the support vector machine (SVM) algorithm and the back propagation (bp) algorithm. In addition, the simulation of the model was performed and the accuracy rate and errors of these two algorithms were compared and analyzed. Then the most appropriate algorithm was applied to the evaluation index system. The simulation results showed that, simplified data of scientific research evaluation could be applied as the input data of the SVM algorithm to accurately and effectively construct an evaluation index system of scientific research performances of vocational colleges. Thus a more reasonable and accurate evaluation system was constructed.

关键词： SVM algorithm bp algorithm vocational colleges scientific research performance evaluation

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Discovery Model and Classification Prediction of Dust Pollution at Different Altitudes Based on LS-SVM and bp algorithm

Discovery Model and Classification Prediction of Dust Pollut...

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International Smart Cities Conference (ISC2)

作者： Ju, XunGuang Shao, XiaoGen Bao, Rong Liu, Feng Li, Putao Xuzhou Univ Technol Sch Informat & Elect Engn Xuzhou Jiangsu Peoples R China

ISBN: (纸本)9781538625248

In order to solve the classification prediction of dust pollution at different altitudes, the least square support vector machine(LS-SVM) and bp neural network is used to construct the distribution model. Built by LS-SVM, the accuracy of the model was verified by bp neural network with the real-time dust pollution data of different high monitored by Unmanned aerial vehicles. The data analysis shows that the dust pollution below 30 meters is much serious than that above 90 meters, which mainly concentrated in the low altitude area of 20 to 30 meters. While in the range of 80 to 250 meters, the dust pollution is basically proportional to the height, that is to say, the higher the altitude, the greater the pollution index.

关键词： least square support vector machine bp algorithm dust pollution distribution model classification prediction

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A new gene regulatory network model based on bp algorithm for interrogating differentially expressed genes of Sea Urchin

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SPRINGERPLUS 2016年第1期5卷 1-15页

作者： Liu, Longlong Zhao, Tingting Ma, Meng Wang, Yan Ocean Univ China Sch Math Sci Qingdao 266100 Peoples R China Chinese Acad Sci Inst Psychol Key Lab Mental Hlth Beijing 100101 Peoples R China

Background: Computer science and mathematical theories are combined to analyze the complex interactions among genes, which are simplified to a network to establish a theoretical model for the analysis of the structure, module and dynamic properties. In contrast, traditional model of gene regulatory networks often lack an effective method for solving gene expression data because of high durational and spatial complexity. In this paper, we propose a new model for constructing gene regulatory networks using back propagation (bp) neural network based on predictive function and network topology. Results: Combined with complex nonlinear mapping and self-learning, the bp neural network was mapped into a complex network. Network characteristics were obtained from the parameters of the average path length, average clustering coefficient, average degree, modularity, and map's density to simulate the real gene network by an artificial network. Through the statistical analysis and comparison of network parameters of Sea Urchin mRNA microarray data under different temperatures, the value of network parameters was observed. Differentially expressed Sea Urchin genes associated with temperature were determined by calculating the difference in the degree of each gene from different networks. Conclusion: The new model we developed is suitable to simulate gene regulatory network and has capability of determining differentially expressed genes.

关键词： bp algorithm Gene regulatory network Neural network model Differentially expressed Sea Urchin genes

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Techniques and Applications of Electrical Equipment Image Processing Based on Improved MLP Network Using bp algorithm 8

Techniques and Applications of Electrical Equipment Image Pr...

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8th IEEE International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)

作者： Weng, Dongbo Chen, Rongbao Li, Yang Zhao, Dan Huainan Power Supply Co State Grid Huainan Peoples R China Hefei Univ Technol Sch Elect Engn & Automat Hefei Peoples R China

ISBN: (纸本)9781509012107

This paper proposed a new method combining infrared and visible image, which is devoted to monitor the electrical equipment. The key technologies of infrared and visible image processing include two aspects. On the one hand, it researches on targeting localization based on visible image. We can get the horizontal and vertical adjustments of the refitted cradle head camera through the coordinates of the electrical equipment in the image by means of the strong ability for bp algorithm fitting nonlinear function;on the other hand, the infrared image is processed by qualitative method based on the temperature difference The improved MLP network eliminated the harmful effect of the size of the partial derivative on the weight step. The network received some features as the inputs and classified the conditions of equipment into two categories which are defective and normal. Experimental results show that the positioning error is less than 5 pixels and the classification accuracy rate reaches 84.21%, which means that the method not only improves the measurement efficiency of the infrared detection technology, which is not affected by the limitation of measurement environment.

关键词： artificial neural network MLP bp algorithm infrared image processing substation inspection

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Research And Implementation of Iterative MapR educe Based On bp algorithm

Research And Implementation of Iterative MapR educe Based On...

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2016 3rd International Conference on Materials Engineering,Manufacturing Technology and Control(ICMEMTC 2016)

作者： Yu Yang Longjun Zhang Department of Communication Engineering Engineering College of Armed Police Force

ISBN: (纸本)9781510821965

The Error Back Propagation is iterative, the way of implementing it using the iterative Map Reduce framework is presented. To solve the shortage of the traditional Map Reduce framework in iterative program, the iterative Map Reduce framework has added a transmitting module. Through the simulation of the control system in the K/TGR radioswitch to get the training sample. Training the sample based on the traditional framework and the iterative framework on Hadoop. The experimental results show that the bp algorithm based on the iterative framework demonstrated faster speed and higher accuracy. The iterative framework can effectively reduce the training time and avoid the problem in iterative calculation.

关键词： MapR educe bp algorithm iteration Control system in the K/TGR radioswitch

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Music Exploration Based on XGBoost algorithm and Node2vec-bp Model 2021

Music Exploration Based on XGBoost Algorithm and Node2vec-BP...

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6th International Conference on Machine Learning Technologies (ICMLT)

作者： Zhou, Xueyu Gan, Guangyan Xiao, Yanghao Zhou, Xiaolin Li, Haoxuan Sichuan Univ Coll Math Chengdu 610065 Sichuan Peoples R China

ISBN: (纸本)9781450389402

The development trend of music genres tends to be homogenous, due to the reduction of music production costs, changes in market demand and the consolidation of composers' thinking. In this article, the significance of each feature of music is inferred through the XGBoost algorithm, and further evidence of music homogeneity is obtained from the time series analysis of feature decomposition. In addition, we propose a high-performance music prediction system that combines Node2vec and bp algorithm to consider the influence of composers on the music revolution. It is concluded that the Node2vec-bp algorithm has higher generalization ability and accuracy than the traditional bp algorithm.

关键词： Feature extraction XGBoost Node2vec bp algorithm

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Optimization of the Geometric Characteristics of Damping Layers for Acoustic Black Hole Beams Based on the Backpropagation algorithm

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APPLIED SCIENCES-BASEL 2025年第3期15卷 1227-1227页

作者： Ouyang, Lijun Zhang, Jiahao Zhen, Bin Univ Shanghai Sci & Technol Sch Environm & Architecture Shanghai 200093 Peoples R China

In real-world scenarios, it is common to apply a damping layer of a specific thickness to the surface of an acoustic black hole (ABH) beam to boost its energy dissipation capacity. However, it has become apparent that excessive damping layers might result in negative consequences. The present study suggests employing the backpropagation (bp) algorithm to refine the positioning, thickness, and contour of the damping layer for optimal results. This study begins with the derivation of a semi-analytical solution for the vibration characteristics of an ABH beam under a harmonic load using the Gaussian expansion method (GEM). This process results in the preliminary identification of a thickness profile for the damping layer that exhibits significant potential for energy dissipation. Subsequently, a bp neural network is trained on the data produced by the semi-analytical solution to further optimize this thickness variation function. The findings reveal that the geometry of the damping layer has a more complex influence on performance than previously recognized. The optimization guided by the bp neural network suggests that achieving a strong ABH effect does not require uniform application of the damping layer across the entire ABH section. Rather, the most effective approach is to concentrate the damping layer thickness at the ABH tip, with a rapid decrease in thickness as one moves away from this point. It is also determined that applying a damping layer in areas far from the tip is unnecessary. Additionally, an innovative strategy is proposed to enhance the system's energy dissipation capabilities without changing the truncation thickness of the ABH beam. This research contributes to a deeper understanding of how the damping layer affects the energy dissipation performance of ABH beams.

关键词： ABH beam damping layers bp algorithm optimization Gaussian expansion method

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Frequency Diverse Array and Spotlight Synthetic Aperture Radar 2D Imaging Based on Multiple Repeated Subpulses

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SENSORS 2025年第4期25卷 1075-1075页

作者： Li, Qinlin Liao, Kefei Xie, Ningbo Chen, Hanbo Guilin Univ Elect Technol Sch Informat & Commun Guilin 541004 Peoples R China Guangxi Intelligent Electromagnet Spectrum Percept Guilin 541004 Peoples R China

Frequency diverse array (FDA) beams show an "S" shape in space and cannot form a spot beam;thus, they cannot be directly combined with spotlight synthetic aperture radar (SSAR). In this paper, we propose a 2D imaging system emitting multiple repeated subpulses using an FDA and spotlight synthetic aperture radar (MRS-FDA-SSAR). This system carries the FDA on an airborne platform and uses the frequency difference between the array elements to synthesize broadband signals and obtain the distance-direction resolution, and then it uses a synthetic aperture technique to obtain the azimuth-direction resolution. Subsequently, 2D imaging results are obtained using the bp algorithm. A deconvolution algorithm is introduced to address the problem of high target sidelobes in the bp imaging results, which can result in the masking of weak targets. This allows 2D imaging results to be obtained with lower sidelobes. Finally, the MRS-FDA-SSAR model was simulated in experiments to verify its effectiveness.

关键词： frequency diverse array higher energy accumulation bp algorithm spotlight synthetic aperture radar deconvolution algorithm

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A three-dimensional advancing front technique to generate grids based on the neural networks

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ARCHIVE OF APPLIED MECHANICS 2024年第11期94卷 3389-3404页

作者： Liu, Hanlin Wang, Nianhua Cui, Huimin Zhang, Zhen Han, Zhiming Liu, Qingkuan Shijiazhuang Tiedao Univ Dept Math & Phys Shijiazhuang 050043 Peoples R China China Aerodynam Res & Dev Ctr State Key Lab Aerodynam Mianyang 621000 Peoples R China Shijiazhuang Tiedao Univ State Key Lab Mech Behav & Syst Safety Traff Engn Shijiazhuang 050043 Peoples R China Innovat Ctr Wind Engn & Wind Energy Technol Hebei Shijiazhuang 050043 Peoples R China Shijiazhuang Tiedao Univ Sch Civil Engn Shijiazhuang 050043 Peoples R China

In computational fluid dynamics, controlling grid scale is efficiently managed using the Advancing Front Technique (AFT). However, achieving grid generation convergence within a three-dimensional (3D) computational domain remains challenging, primarily due to excessive intersection judgments that significantly reduce efficiency. This paper addresses the non-convergence issues inherent in the 3D AFT and proposes preliminary solutions to enhance algorithm robustness while reducing intersection judgments. We introduce two neural networks trained on the backpropagation (bp) algorithms, Line-ANN and Plane-ANN, specifically designed for integration with AFT. These networks are individually combined with traditional 3D AFT to develop two enhanced methods. We assess these methods by comparing grid quality and time consumption against traditional AFT approaches. The results demonstrate that integrating Plane-ANN and Line-ANN with AFT improves overall efficiency by approximately 55% and 36%, respectively, thereby significantly enhancing grid generation efficiency.

关键词： Computational fluid dynamics Machine learning bp algorithm AFT Grid generation

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