Search Results - research algorithms

Research on the Integrated Scheduling of Imaging and Data Transmission for Earth Observation Satellites by Guanfei Yu, Kunlun Zhang

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Research on Time Constant Test of Thermocouples Based on QNN-PID Controller by Chenyang Xu, Xiaojian Hao, Pan Pei, Tong Wei, Shenxiang Feng

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Research on Multi-objective Shielding Intelligent Optimization Method Based on Non-dominated Sorting Genetic Algorithm NSGA-Ⅲ by WANG Mengqi, ZHENG Zheng, MEI Qiliang, PENG Chao, GAO Jing, ZHOU Yan

Research on Collaborative Optimization Strategy of Railway Signal Nonlinear Control System Based on BBO Algorithm and Multi-objective Optimization by Xue Li, Yixuan Yang, Zheng Li, Hui He

“…The research constructs a mathematical model with multiple objective constraints, accurately identifies the adaptation shortcomings of the existing system in dynamic scenarios, and then employs a Biogeography-Based Optimization (BBO) algorithm for global optimization of control parameters. …”
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Research on Autonomous Obstacle Avoidance Algorithm for Complex Environment of Unmanned Aerial Vehicle Based on Multi-source Sensor Fusion by Fan Li

“…Based on the above problems, this paper summarizes the research on autonomous obstacle avoidance algorithms for UAVs in complex environments based on multi- source sensor fusion in recent years. …”
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Image clustering algorithm and psychological perception in historical building colour rating research: A case study of Guangzhou, China by Tianyi Fan, Xiaoxiang Tang, Kerun Li

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Research on the Prediction of Pipelines Corrosion Rate Based on GA-LSSVM by CHEN Yong-hong, SU Yong-sheng, HU Ping

“…Corrosion rate is an important characteristic parameter to reflect the corrosion dynamics process of pipeline.In order to accurately evaluate the long-term operation reliability and remaining life of pipeline, the prediction of corrosion rate is particularly important.Least squares support vector machine(LSSVM)is a method based on machine learning, which is often used in classification and prediction research.Since penalty parameters γ and kernel parameters σ2 are two important parameters of LSSVM, the value of these two parameters can only be obtained by experience in calculation, causing a great impact on the calculation results.In this paper, the genetic algorithm(GA)was used to optimize the parameters, the GA-LSSVM prediction model was built and the model was applied to the prediction of pipeline corrosion rate.Compared with the results of other prediction models, the results showed that the accuracy of GA-LSSVM model and prediction results were relatively higher, which could realize the prediction of pipeline corrosion rate.…”
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Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

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THE ALGORITHMIC APPROACH TO IMPROVEMENT OF WORK GENETIC ALGORITHM IN THE HOMOGENEOUS MINIMAX PROBLEM by Valery G. KOBAK, Dmitry V. TITOV, Valery V. KOBAK

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Research on Energy-Saving Optimization Control Strategy for Distributed Hub Motor-Driven Vehicles by Bin Huang, Jinyu Wei, Minrui Ma, Xu Yang

“…Aiming at the problems of energy utilization efficiency and braking stability in electric vehicles, a high-efficiency and energy-saving control strategy that takes both driving and braking into account is proposed with the distributed hub motor-driven vehicle as the research object. Under regular driving and braking conditions, the front and rear axle torque distribution coefficients are optimized by an adaptive particle swarm algorithm based on simulated annealing and a multi-objective co-optimization strategy based on variable weight coefficients, respectively. …”
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Research on manufacturing quality improvement based on product gene evaluation method and a meta-heuristic algorithm with hybrid encoding scheme by Wenxiang Xu, Chao Wang, Shimin Xu, Junyong Liang, Dezheng Liu, Baigang Du

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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

“…In this study, a multivariate data mining-driven algorithm was used to design a teaching resource recommendation system. …”
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Research of the Finite State Machine with Programmable Logic as a Part of Digital Information and Control System Based on FPGA by Barkalov A., Titarenko L., Zeleneva I., Hrushko S.

“…The purpose of this research is to determine the effective way of implementation of the control algorithm, as an important functional part of information and control computer systems. …”
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A full-scale simulator for research of navigation and filtering algorithms of a strapdown inertial navigation system using the Matlab-Simulink environment by A. A. Sanko, V. A. Vetoshkin, E. L. Ivanovskaya

“…Due to the increasing complexity of aircraft navigation equipment and the growing demands placed on them, there is a need to study and improve existing navigation and filtering algorithms by solving problems of developing full-scale research simulators. …”
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RESEARCH OF MODES OF GAS-FLUID FLOWS MOTION APPLICABLE TO THE CONDITIONS OF FLOODING GAS WELLS OPERATION by R. A. Gasumov, E. R. Gasumov

“…Materials and methods of the research: a method for nodal analysis for studying laws of gas-liquid low behavior in gas wells vertical lift pipes is described, based on the ratios used in calculating the pressure loss in a two-phase flow (in the "reservoir-well" system). …”
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Research on Predicting Joint Rotation Angles Through Mechanomyography Signals and the Broad Learning System by Yu Bai, Xiaorong Guan, Huibin Li, Shi Cheng, Rui Zhang, Long He

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Active Noise Reduction Algorithm Based on NOTCH Filter and Genetic Algorithm by Paweł GÓRSKI, Leszek MORZYŃSKI

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Decoding Artificial Intelligence: A Tutorial on Neural Networks in Behavioral Research by Javier Martínez-García, Juan José Montaño, Rafael Jiménez, Elena Gervilla, Berta Cajal, Antonio Núñez, Federico Leguizamo, Albert Sesé

“…- Simplifying Complex Concepts: This tutorial helps to demystify ANNs by breaking down the backpropagation algorithm into manageable steps. Readers will gain hands-on experience in Python, empowering them to confidently replicate analyses for regression and classification tasks without feeling overwhelmed…”
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