GEARBOX DIAGNOSIS BASED ON SVM OPTIMIZED BY DOUBLE GROUP COEVOLUTION FRUIT FLY OPTIMIZATION ALGORITHM by LEI Biao, HUI EnMing, GUAN HaiYing, WANG XiaoJun

Subjects: “…Fruit fly optimization algorithm…”
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Application of Entropy Hierarchy Analysis and Deep Neural Network Algorithm Combination in Enterprise Economic Management by Dan Liu, Xuefei Zheng, Chunqian Dai

“…In order to solve this problem, this paper proposes an evaluation method that integrates entropy weight analytic hierarchy process and deep neural network algorithm. Through objective entropy weight and imitation, the deep neural network fusion of subjective judgment of experts combines the subjective and objective factors of the evaluation index, then uses the AHP method as the evaluation index of performance evaluation according to the index weight, and finally realizes the accurate evaluation of enterprise economic management.…”
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Joint Motion Control for Lower Limb Rehabilitation Based on Iterative Learning Control (ILC) Algorithm by Wei Guan, Lan Zhou, YouShen Cao

“…Therefore, an iterative learning control algorithm is proposed to track the desired trajectory of human hip and knee joints. …”
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Improving Critical Frequency of the Electrothermal V-Shaped Actuator Using the Particle Swarm Optimization Algorithm by Phuc Hong Pham, Phuc Truong Duc, Kien Trung Hoang, Ngoc-Tam Bui

“…Moreover, the particle swarm optimization (PSO) algorithm is used to figure out the optimal beam dimensions aiming to increase the critical frequency while satisfying conditions such as mechanical stability, thermal safety, and suitable displacement of EVA. …”
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Design of Optimal Proportional Integral Derivative Based Power System Stabilizer Using Bat Algorithm by Dhanesh K. Sambariya, Rajendra Prasad

“…The design of a proportional, derivative, and integral (PID) based power system stabilizer (PSS) is carried out using the bat algorithm (BA). The design of proposed PID controller is considered with an objective function based on square error minimization to enhance the small signal stability of nonlinear power system for a wide range of operating conditions. …”
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Application of VIS/NIR Spectroscopy and SDAE-NN Algorithm for Predicting the Cold Storage Time of Salmon by Ting Wu, Nan Zhong, Ling Yang

“…VIS/NIR spectroscopy combined with the SDAE-NN algorithm can be widely used to predict the freshness of various agricultural products.…”
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The Inverse Solution Algorithm and Trajectory Error Analysis of Robotic Arm Based on MQACA-RBF Network by Xu Cheng, Ming Zhao

“…This algorithm establishes the prediction model through the neural network and uses the quantum ant colony algorithm to optimize the output weight. …”
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Speech emotion recognition algorithm based on spectrogram feature extraction of deep space attention feature by Jinhua WANG, Na YING, Chendu ZHU, Zhaosen LIU, Zhedong CAI

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Design of high uniform magnetic field with four coils based on improved wolf pack algorithm by Xuehua Zhu, Juntao Ye, Ziruo Ren, Xinyu Liu

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A Generalized Strong Convergence Algorithm in the Presence of Errors for Variational Inequality Problems in Hilbert Spaces by Mostafa Ghadampour, Donal O’Regan, Ebrahim Soori, Ravi P. Agarwal

“…In this paper, we study the strong convergence of an algorithm to solve the variational inequality problem which extends a recent paper (Thong et al., Numerical Algorithms. 78, 1045-1060 (2018)). …”
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Distributed Algorithm for Real-Time Energy Optimal Routing Based on Dual Decomposition of Linear Programming by Jiří Trdlička, Zdeněk Hanzálek

“…Based on the convex programming theory we use dual decomposition to derive the distributed algorithm. Thanks to the exact mathematical derivation, the algorithm computes the energy optimal real-time routing. …”
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A wavelet threshold image denoising algorithm based on a new kind of sign function by Jinge CUI, Bingquan CHEN, Qing XU, Bo DENG

“…Based on the existing threshold denoising algorithm,a threshold denoising algorithm based on the new symbolic function was proposed.The new threshold function has advantages of continuous guidance,small deviation of wavelet coefficient,strong threshold adaptability and so on.It not only preserved the low-frequency wavelet coefficients,but also filtered the noise coefficients in the high-frequency coefficients effectively,so that the reconstructed image was closer to the original image.The simulation results of Bridge image,Lena image and B-mode Fetus image with Gaussian white noise show that the visual effect of both the new threshold function and the quantitative indicators PSNR and MSE are better than the existing threshold image denoising algorithm.The edge and detail information can be better protected,have no obvious oscillation,the image is smoother and even,and the method has good stubbornness under the background of complex noise.…”
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Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm by Yun Wang, Yu Zhou, Xuedong Yan

“…An integer programming TCP model is established to optimize the train-set utilization scheme, aiming to obtain the one-to-one correspondence relationship among sets of train-sets, trip tasks, and maintenances. A genetic algorithm (GA) is designed to solve the model. A case study based on Nanjing and Shanghai HSR transportation hubs is made to demonstrate the practical significance of the proposed method. …”
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Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm by Wenping Wu

“…The interference suppression algorithms verified by simulation include noise FM interference suppression algorithm based on cancellation and distance false target interference suppression algorithm based on LFM radar summary processing. …”
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Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis by Chao Fu, Qing Lv, Hsiung-Cheng Lin

“…In this paper, a CNN integrated with the adaptive batch normalization (ABN) algorithm (ABN-CNN) is developed to avoid high computing resource requirements of such complex networks. …”
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Novel Side Information Generation Algorithm of Multiview Distributed Video Coding for Multimedia Sensor Networks by Fu Xiao, Jinkai Liu, Jian Guo, Linfeng Liu

“…This paper presents a novel multiview distributed video coding algorithm. In the main perspective, gaining the intense motion regions of Wyner-Ziv frame according to the criteria of ROI, the algorithm extracts their DCT low-frequency coefficients for the entropy coding, in order to generate the best temporal side information. …”
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Clustering and Prediction Analysis of the Coordinated Development of China’s Regional Economy Based on Immune Genetic Algorithm by Yang Yang

“…Therefore, on the basis of studying the related theories of genetic algorithm and artificial immune algorithm, this paper uses the advantages of the two algorithms, combines the two algorithms, and proposes an improved algorithm for genetic algorithm-adaptive immune genetic algorithm. …”
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A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm by Tianli Wang, Yi Zhang, Haiyan Liu, Fei Li, Dayong Guo, Ning Cao, Yubin Zhang

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Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm by Quanping Shen, Songzhong Ye

“…The first part is an overview of the algorithm; the second part elaborates the network structure and the working principle of the FPN-TAD algorithm; and the third part gives the experimental results and analysis of the algorithm.…”
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Pseudorange estimation algorithm combining code and carrier phase based on Gaussian sum particle filtering by LI Li-min1, GONG Wen-bin1, LIU Hui-jie1, YU Jin-pei1

“…According to the characteristic that code measurements yielded noisy but unambiguous pseudorange estimates and carrier phase measurements were almost noiseless but were affected by integer ambiguity,a novel Gaussian sum particle filter（GSPF） algorithm was proposed to combine the advantages of the two measurements.The theoretical analysis and simulation results show that the proposed algorithm is immune from cycle slips and produces smaller mean square errors.…”
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