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第34届中国控制与决策会议

作者： Gui Wu Educational Administration office Jianghan University

At present,the computer games with the intelligent algorithm optimization are always a popular research direction of the artificial *** this research field,the key concerned technologies and the important resolve are how to continue to gain the final winning rate constantly by independent identification realization,movement optimization and real-time update games based on the unsupervised learning algorithm in the computer chess *** to the typical artificial intelligence application scene of computer games,an improved algorithm based on the unsupervised learning is designed and proposed in the *** algorithm uses alfa-beta search tree to select the best matching pattern and applies the concept of feature learning to make the image recognition *** the characteristics of the Checkers and the common search methods,it proposes a feature and pattern learning method based on the K-means clustering *** the experimental data and results,the improved algorithm proposed in the paper can gain and keep a high winning rate in the real games.

关键词： Unsupervised Learning computer algorithm computer Games Machine Learning

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Analysis of the contribution of rural road infrastructure development to economic growth based on computer algorithms

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Applied Mathematics and Nonlinear Sciences 2024年第1期9卷

作者： Gao, Hailin Tong, Guangji School of Economics and Management Northeast Forestry University Heilongjiang Harbin150040 China

A convenient and efficient rural road network helps to develop the rural economy and promote national rural revitalization. This paper systematically analyzes the role of rural road infrastructure construction on economic growth from a theoretical perspective. Simultaneously, it employs a computer algorithm based on vector autoregression to construct an econometric model. Based on this theoretical analysis empirically examines the relationship between rural infrastructure construction and economic development. It collects data from a city’s rural area from 2000 to 2020 as a research sample and conducts a series of analyses, including VAR model estimation, impulse response, and variance decomposition. The results show that rural road infrastructure construction has a significant impact on economic growth, with coefficients of -0.288 and 0.356 for lags 1 and 2. The construction of rural road infrastructure is responsible for more than 90% of the variation in economic growth, whereas the opposite is about 10%. Therefore, rural road infrastructure development does not have a significant effect on economic growth in the short term but has a significant effect in the medium and long term. © 2024 Hailin Gao and Guangji Tong, published by Sciendo.

关键词： computer algorithm Impulse response Road infrastructure development Variance decomposition Vector autoregression

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Machine learning-based processing of unbalanced data sets for computer algorithms

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OPEN computer SCIENCE 2023年第1期13卷

作者： Zhou, Qingwei Qi, Yongjun Tang, Hailin Wu, Peng Guangdong Baiyun Univ Fac Megadata & Comp Guangzhou 510450 Guangdong Peoples R China Mongolian Univ Sci & Technol Sch Informat & Commun Technol Ulan Bator 13341 Mongolia Sichuan Tourism Univ Sch Informat & Engn Chengdu 610000 Sichuan Peoples R China

The rapid development of technology allows people to obtain a large amount of data, which contains important information and various noises. How to obtain useful knowledge from data is the most important thing at this stage of machine learning (ML). The problem of unbalanced classification is currently an important topic in the field of data mining and ML. At present, this problem has attracted more and more attention and is a relatively new challenge for academia and industry. The problem of unbalanced classification involves classifying data when there is insufficient data or severe category distribution deviations. Due to the inherent complexity of unbalanced data sets, more new algorithms and tools are needed to effectively convert a large amount of raw data into useful information and knowledge. Unbalanced data set is a special case of classification problem, in which the distribution between classes is uneven, and it is difficult to classify data accurately. This article mainly introduces the research on the processing method of computer algorithms based on the processing method of unbalanced data sets based on ML, aiming to provide some ideas and directions for the processing of computer algorithms based on unbalanced data sets based on ML. This article proposes a research strategy for processing unbalanced data sets based on ML, including data preprocessing, decision tree data classification algorithm, and C4.5 algorithm, which are used to conduct research experiments on processing methods for unbalanced data sets based on ML. The experimental results in this article show that the accuracy rate of the decision tree C4.5 algorithm based on ML is 94.80%, which can be better used for processing unbalanced data sets based on ML.

关键词： machine learning unbalanced data sets classification algorithm data processing computer algorithm decision tree classification

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DISCRETE TECHNIQUES FOR computer-TRANSFORMATIONS OF DIGITAL IMAGES AND PATTERNS

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PATTERN RECOGNITION 1990年第11期23卷 1249-1273页

作者： LI, ZC CONCORDIA UNIV CTR PATTERN RECOGNIT & MACHINE INTELLIGENCEMONTREAL H3G 1M8QUEBECCANADA

Images and patterns through a cycle conversion T−1T are discussed and facilitated by the combined algorithms, where the transformation is T:(ξ,η)→(x,y) with the linear or nonlinear functions x = x(ξ,η) and y = y(ξ,η). A new Area Method is presented for images through T and T−1T of linear transformations, and three combinations of the Splitting-Shooting Method and the Splitting-Integrating Method are proposed for images through T−1T of linear and nonlinear transformations. Furthermore, both error analysis and graphical experiments given prove the importance of those combinations to computer vision, image processing, graphs and pattern recognition.

关键词： Shape transformation Nonlinear model The splitting-shooting method The splitting-integrating method Combined algorithms Multi-grey-image Numerical methods Error analysis computer algorithm computer vision Image processing Pattern recognition

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computer art design based on artificial intelligence

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第6-Sup期22卷 13881-13887页

作者： Wang, Fang Wuchang Univ Technol Sch Art Design Wuhan Hubei Peoples R China

This article studies the design of computer art based on artificial intelligence in the digital media environment, and mainly discusses the re-creation of the classic animated images. By analyzing and summarizing the animated images, the components needed to form the characters that are classified. We use real-coded genetic algorithm to generate a large number of flexible components. At the same time, it improves the genetic strategy in the process of operation and designs corresponding fitness functions according to the characteristics of the animated image. According to the shape modification method of NURBS curve, we increase the diversity of generative populations to construct a rich and varied library of components. Using automatic assembly method, the selection of components, we can produce a wide range of different styles of animation image.

关键词： Digital media environment computer algorithm Re-creation of animated images

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A computer analysis of primer and probe hybridization potential with bacterial small-subunit rRNA sequences

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APPLIED AND ENVIRONMENTAL MICROBIOLOGY 1996年第3期62卷 872-879页

作者： Brunk, CF AvanissAghajani, E Brunk, CA UNIV CALIF LOS ANGELES DEPT BIOL MOLEC LOS ANGELES CA 90024 USA UNIV CALIF IRVINE DEPT COMP SCI IRVINE CA 92717 USA

Analysis of restriction fragment length polymorphism of bacterial small-subunit (SSU) rRNA sequences represents a potential means for characterizing complex bacterial populations such as those found in natural environments. In order to estimate the resolution potential of this approach, we have examined the SSU rRNA sequences in the Ribosomal Database Project bank using a computer algorithm which simulates hybridization between DNA sequences. Simulated hybridizations between a primer or probe sequence and an SSU rRNA sequence yield a value for each potential hybridization. This algorithm has been used to evaluate sites for PCR primers and hybridization probes used for classifying SSU rRNA sequences. Our analysis indicates that length variation in terminal restriction fragments of PCR products from the SSU rRNA sequences can identify a wide spectrum of bacteria. We also observe that the majority of restriction fragment length variation is the result of insertions and deletions rather than restriction site polymorphisms. This approach is also used to evaluate the relative efficiency and specificity of a number of published hybridization probes.

关键词： .PCR primers bacterial populations estimate restriction site restriction fragments length variation hybridization probes Analysis of Primer computer algorithm probe sequence SSU rRNA sequence

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computer model of aluminum agglomeration on burning surface of composite solid propellant

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JOURNAL OF PROPULSION AND POWER 2007年第4期23卷 728-736页

作者： Srinivas, Vishal Chakravarthy, Satyanarayanan R. Indian Inst Technol Dept Aerosp Engn Madras 600036 Tamil Nadu India

The process of agglomeration of aluminum particles on the burning surface of an ammonium perchlorate-based composite propellant is modeled using a computer algorithm. A random pack of particulate ingredients of given size and mass specifications is cast on the computer to simulate the propellant microstructure as reported previously. The aluminum particles are tracked as they emerge at a regressing burning surface, accumulate into filigrees, and get ignited by the near-surface leading-edge oxidizer-binder diffusion flamelets attached to the exposed areas of certain ammonium perchlorate particles. An approximate heat transfer model is incorporated to estimate the ignition delays radially inward and outward from the leading-edge flamelets into the filigrees accumulated over ammonium perchlorate particles and surrounding binder-fine ammonium perchlorate matrix layers. The delay influences the number of parent aluminum particles constituting a filigree, and consequently the size of the agglomerate that the filigree rolls up into. The implementation of the algorithm is validated against experimental results available in the literature, which were specifically obtained to investigate the relationship between the decrease in the agglomerate size and attachment of leading-edge flamelets over the fine ammonium perchlorate particles in the propellant with increase in pressure.

关键词： Composite Solid Propellant Convective Heat Transfer Coefficient Solid Rocket Propellants Microstructure Leading Edges computer algorithm Combustion Instability Thermal Conductivity Rocket Motor Convection

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A computer software for PID tuning by new frequency domain design method

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computerS & ELECTRICAL ENGINEERING 2003年第1期29卷 251-257页

作者： Atchiraju, CS Nagraja, T Banaras Hindu Univ Dept Elect Engn Varanasi 221005 Uttar Pradesh India

A software package has been developed for the PID controller tuning introduced by Wang et al. using new frequency domain method. It is user friendly and is illustrated by two practical examples. The study includes the... 详细信息

关键词： PID controller tuning frequency-domain design tuning software package computer algorithm

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Assessment of Tissue Edema in Patients With Acute Myocardial Infarction by computer-Assisted Quantification of Triple Inversion Recovery Prepared MRI of the Myocardium

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MAGNETIC RESONANCE IN MEDICINE 2011年第2期66卷 564-573页

作者： Johnstone, R. I. Greenwood, J. P. Biglands, J. D. Plein, S. Ridgway, J. P. Radjenovic, A. Univ Leeds Sch Med NIHR LMBRU Chapel Allerton Hosp Leeds LS7 4SA W Yorkshire England Leeds Teaching Hosp Trust Dept Med Phys & Engn Leeds W Yorkshire England Univ Leeds Sch Med Leeds LS7 4SA W Yorkshire England

The aim of this study was to design a computer algorithm to assess the extent of cardiac edema from triple inversion recovery MR images of the human left ventricular myocardium. Twenty-one patients presenting with acute myocardial infarction were scanned within 48 h of the onset of symptoms. Eight patients were scanned a second time, 4 weeks after the initial event. Myocardial edema was detected in 27 of 29 studies using visual contour-based manual segmentation. A reference standard, created from the segmentations of three raters by voxel-wise majority voting, was compared to the edema mass estimates obtained using a newly developed computer algorithm. At baseline (n = 20), the reference standard yielded an edema mass of 16.4 +/- 15.0 g (mean +/- SD) and the computer algorithm edema mass was 16.4 +/- 12.6 g. At follow-up (n = 7), the reference standard edema mass was 7.1 +/- 4.4 g compared to 16.3 +/- 7.7 g at baseline. computer algorithm estimates showed the same pattern of change with 5.7 +/- 5.7 g at follow-up compared to 20.8 +/- 13.8 g at baseline. Although there was a significant degree of discrepancy between reference standard and computer algorithm estimates of edema mass in individual patients, their overall agreement was good, with intraclass correlation coefficient ICC(3, 1) = 0.753. Magn Reson Med 66:564-573, 2011. (C) 2011 Wiley-Liss, Inc.

关键词： myocardial edema myocardial infarction magnetic resonance imaging image processing computer algorithm

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Medical image diagnostics based on computer-aided flow analysis using magnetic resonance images

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computerIZED MEDICAL IMAGING AND GRAPHICS 2012年第7期36卷 527-541页

作者： Wong, Kelvin K. L. Sun, Zhonghua Tu, Jiyuan Worthley, Stephen G. Mazumdar, Jagannath Abbott, Derek RMIT Univ Sch Aerosp Mech & Mfg Engn Bundoora Vic 3083 Australia RMIT Univ Hlth Innovat Res Inst HIRi Bundoora Vic 3083 Australia Univ Adelaide Sch Elect & Elect Engn Adelaide SA 5005 Australia Univ Adelaide Ctr Biomed Engn CBME Adelaide SA 5005 Australia Curtin Univ Technol Dept Imaging & Appl Phys Discipline Med Imaging Perth WA 6845 Australia Univ Adelaide Sch Med Adelaide SA 5005 Australia Royal Adelaide Hosp Dept Cardiol Adelaide SA 5005 Australia

Most of the cardiac abnormalities have an implication on hemodynamics and affect cardiovascular health. Diagnostic imaging modalities such as computed tomography and magnetic resonance imaging provide excellent anatomical information on myocardial structures, but fail to show the cardiac flow and detect heart defects in vivo condition. The computerized technique for fluid motion estimation by pixel intensity tracking based on magnetic resonance signals represents a promising technique for functional assessment of cardiovascular disease, as it can provide functional information of the heart in addition to analysis of its anatomy. Cardiovascular flow characteristics can be measured in both normal controls and patients with cardiac abnormalities such as atrial septal defect, thus, enabling identification of the underlying causes of these flow phenomena. This review paper focuses on an overview of a flow analysis scheme based on computer-aided evaluation of magnetic resonance intensity images, in comparison with other commonly used medical imaging modalities. Details of the proposed technique are provided with validations being conducted at selected abnormal cardiovascular patients. It is expected that this new technique can potentially extend applications for characterizing cardiovascular defects and their hemodynamic behavior. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Cardiac magnetic resonance imaging Intensity images Fluid motion estimation Nuclear signals computer algorithm Cardiac flow analysis

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