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Research on stock trend prediction method based on optimized random forest

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CAAI Transactions on Intelligence Technology 2023年第1期8卷 274-284页

作者： Lili Yin Benling Li Peng Li rubo zhang School of Computer and Science and Technology Harbin University of Science and TechnologyHarbinChina Department of Computer Science and Engineering Dalian Nationalities UniversityDalianChina

As a complex hot problem in the financial field,stock trend forecasting uses a large amount of data and many related indicators;hence it is difficult to obtain sustainable and effective results only by relying on empirical *** in the field of machine learning have proved that random forest can form better judgements on this kind of problem,and it has an auxiliary role in the prediction of stock *** study uses historical trading data of four listed companies in the USA stock market,and the purpose of this study is to improve the performance of random forest model in medium-and long-term stock trend *** study applies the exponential smoothing method to process the initial data,calculates the relevant technical indicators as the characteristics to be selected,and proposes the D-RF-RS method to optimize random *** the random forest is an ensemble learning model and is closely related to decision tree,D-RF-RS method uses a decision tree to screen the importance of features,and obtains the effective strong feature set of the model as ***,the parameter combination of the model is optimized through random parameter *** experimental results show that the average accuracy of random forest is increased by 0.17 after the above process optimization,which is 0.18 higher than the average accuracy of light gradient boosting machine *** with the performance of the ROC curve and Precision–Recall curve,the stability of the model is also guaranteed,which further demonstrates the advantages of random forest in medium-and long-term trend prediction of the stock market.

关键词： ensemble learning finance random forest random search technical indicator

Situation reasoning for an adjustable autonomy system

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International Journal of Intelligent Computing and Cybernetics 2012年第2期5卷 226-238页

作者： Yin Lili zhang rubo Gu Hengwen College of Computer Science and Technology Harbin Engineering UniversityHarbin CityChina College of Power and Energy Engineering Harbin Engineering UniversityHarbin CityChina

Purpose–The purpose of this paper is to provide a more capable and holistic adjustable autonomy system,involving situation reasoning among all involved information sources,to make an adjustable autonomy system which knows what the situation is currently,what needs to be done in the present situation,and how risky the task is in the present *** will enhance efficiency for calculating the level of ***/methodology/approach–Situation reasoning methodologies are present in many autonomous systems which are called situation *** awareness in autonomous systems is divided into three levels,situation perception,situation comprehension and situation *** awareness in these systems aims to make the tactical plans cognitive,but situation reasoning in adjustable autonomous systems aim to communicate mission assessments to unmanned vehicle or ***,in solving this problem,it is important to design a new situation reasoning module for the adjustable autonomous ***–The contribution of this paper is presenting the Situation Reasoning Module(SRM)for an adjustable autonomous system,which encapsulates event detection,cognitive situations,cognitive tasks,performance capacity assessment and integrated situation *** paper concludes by demonstrating the benefits of the SRM in a real-world scenario,a situation reasoning simulation in unmanned surface vehicles(USV)while performing a navigation ***/value–The method presented in this paper represents a new SRM to reason the situation for adjustable autonomous *** the results presented in the paper are based on fuzzy logic and Bayesian network *** results of this paper can be applicable to land,sea and air robotics in an adjustable autonomous system.

关键词： Situation reasoning Adjustable autonomous system Event detection Situation cognitive Task cognitive Performance capacity assessment Reasoning Cognition

Template synthesis of silver indium sulfide based nanocrystals performed through cation exchange in organic and aqueous media

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Nano Research 2021年第7期14卷 2321-2329页

作者： Na Gao rubo zhang Bingkun Chen Jinfeng zhang Xiaoling zhang Andrey L.Rogach School of Chemistry and Chemical Engineering Beijing Institute of TechnologyBeijing 100081China School of Optics and Photonics Beijing Institute of TechnologyBeijing 100081China School of Life Science Beijing Institute of TechnologyBeijing 100081China Department of Materials Science and Engineering and Centre for Functional Photonics(CFP)City University of Hong KongHong Kong SARChina

Heavy-metal-free silver based I-III-VI semiconductor nanocrystals(NCs),including ternary silver indium sulfide(AgInS_(2))and derivative quaternary silver indium zinc sulfide(i.e.,AgInZn_(2)S_(4))NCs,possess advantages of low toxicity,and size-tunable band gaps approaching near-infrared spectral range,which make them candidates for use in optoelectronic and biological ***,we report syntheses of AgInS_(2) based NCs starting from In_(2)S_(3) template,which have been performed both in organic and aqueous phase through cation *** a result,ternary silver indium sulfide and quaternary silver indium zinc sulfide NCs are obtained in both organic and aqueous media,and confirmed to be orthorhombic AgInS_(2) NCs and hexagonal AgInZn_(2)S_(4) NCs,***,the aqueous AgInZn_(2)S_(4) NCs with red emission and low cytotoxicity are explored for the cancer cell imaging.

关键词： template synthesis silver indium sulfide based nanocrystals cation exchange organic and aqueous media

Deformable Part Fuzzy Decision Algorithm for Video Pedestrian Tracking 36

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Deformable Part Fuzzy Decision Algorithm for Video Pedestria...

Studies on situation reasoning approach of autonomous underwater vehicle under uncertain environment

第36届中国控制会议

作者： Lin Mao Dawei Yang rubo zhang College of Mechanical and Electronic Engineering Dalian Minzu University Key Laboratory of Intelligent Perception and Advanced Control(Dalian Nationalities University) State Ethnic Affairs Commission Dalian Minzu University

ISBN: (纸本)9781538629185

For the pedestrian tracking failure problems of the multiple concurrent particle filter with partial occlusion in active safety,this paper proposed a fuzzy decision algorithm to decrease the error probability when the multiple deformable parts are used to tracking an up-right person in the video *** algorithm applies the multiple adaptive color-based particle filter trackers to trace the different body parts of a pedestrian,and then introduces an elastic-based fuzzy decision in order to amend the incorrect particle filter results when part of the filters missing from pedestrian *** the simulation results,the proposed algorithm increases the tracking efficiency and decreases the tracing failure or partial failure issues exploiting the combination of the two or more pedestrian parts.

关键词： pedestrian tracking deformable part fuzzy decision particle filter

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CAAI Transactions on Intelligence Technology 2021年第2期6卷 235-250页

作者： Lili Yin Deyun Chen Hengwen Gu Ning Guan rubo zhang Handan Hou College of Software&Microelectronics Harbin University of Science and TechnologyHarbinChina College of Computer Science and Technology Harbin University of Science and TechnologyHarbinChina 703th Research Institute China Shipbuilding Industry CorporationHarbinChina School of Foreign Languages Harbin University of Science and TechnologyHarbinChina Department of Computer Science and Engineering Dalian Nationalities UniversityDalianChina School of Computer Science Harbin Finance UniversityHarbinChina

The purpose of this study is to provide a situation reasoning module for autonomous underwater vehicle(AUV),to make decision-making agents know what is the current situation,what needs to be done in the present situation,and what is the risk of task present *** will enhance efficiency for *** reasoning for AUV aims to communicate mission assessments to decision-making ***,in solving this problem,it is important to design a new situation reasoning module for *** article is presenting the situation reasoning module for AUV,which includes uncertain event detection,uncertain event recognition and ontology model of the *** article concludes by demonstrating the benefits of the situation reasoning module in a real-world scenario.A situation reasoning simulation is demonstrated in an AUV while performing a complex *** approach was validated by marine experiments and simulating experiments for *** show the effectiveness of situation reasoning approach.

关键词： reasoning underwater autonomous

A Superpixel Segmentation Algorithm with Region Correlation Saliency Analysis for Video Pedestrian Detection 36

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A Superpixel Segmentation Algorithm with Region Correlation ...

An Adaptive Obstacle Avoidance Algorithm for Unmanned Surface Vehicle in Complicated Marine Environments

第36届中国控制会议

作者： Dawei Yang Lin Mao Mengting Ji rubo zhang College of Mechanical and Electronic Engineering Dalian Minzu University Key Laboratory of Intelligent Perception and Advanced Control(Dalian Nationalities University) State Ethnic Affairs Commission Dalian Minzu University

ISBN: (纸本)9781538629185

Most pedestrian detection algorithms only provide the object region instead of the actual body segmentation in *** reducing the large number of redundant information and extracting a clear contour and texture feature of an up-right person,a supeipixel segmentation algorithm with region correlation saliency analysis is proposed from coarse to fine cutting without any prior *** algorithm cuts single pedestrian target automatically and obtains strict features of human object regardless of whether or not the camera is *** exploits saliency analysis to find location and compute region energy in superpixel image to achieve a body *** results indicate that the proposed approach detects pedestrian efficiently in the complex background environment in both indoor and outdoor videos with precise object cutting boundaries.

关键词： Pedestrian detection Superpixel Saliency Region correlation

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IEEE/CAA Journal of Automatica Sinica 2014年第4期1卷 385-396页

作者： rubo zhang Pingpeng Tang Yumin Su Xueyao Li Ge Yang Changting Shi the College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China College of Electromechanical and Information Dalian Nationalities University the College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China Wuhan Second Ship Design and Research Institute the National Key Laboratory of Science and Technology on Autonomous Underwater Vehicle Harbin Engineering University

Unmanned surface vehicles(USVs) are important autonomous marine robots that have been studied and gradually applied into practice. However, the autonomous navigation of USVs, especially the issue of obstacle avoidance in complicated marine environment, is still a fundamental problem. After studying the characteristics of the complicated marine environment, we propose a novel adaptive obstacle avoidance algorithm for USVs,based on the Sarsa on-policy reinforcement learning *** proposed algorithm is composed of local avoidance module and adaptive learning module, which are organized by the “divide and conquer” strategy-based architecture. The course angle compensation strategy is proposed to offset the disturbances from sea wind and currents. In the design of payoff value function of the learning strategy, the course deviation angle and its tendency are introduced into action rewards and penalty policies. The validity of the proposed algorithm is verified by comparative experiments of simulations and sea trials in three sea-state marine environments. The results show that the algorithm can enhance the autonomous navigation capacity of USVs in complicated marine environments.

关键词： Algorithm design and analysis Collision avoidance Learning (artificial intelligence) Marine technology Mobile robots Navigation Sea surface Unmanned aerial vehicles “divide and conquer” strategy Sarsa on-policy reinforcement learning algorithm Unmanned surface vehicle adaptive obstacle avoidance algorithm complicated marine environment Obstacle avoidance vehicle UNMANNED sublittoral zone Unmanned Aerial Vehicle Algorithm design and analysis Divide and conquer navigation Marine technology Ground vehicles drone honey bees Collision avoidance algorithms sea surface Mobile robots

支持混合主动交互的USV可变自主系统结构研究

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华中科技大学学报（自然科学版） 2015年第S1期43卷 127-131页

作者：邹启杰张汝波大连大学信息工程学院辽宁大连116600 大连民族大学机电信息学院辽宁大连116600

针对混合主动交互的水面无人艇(USV)系统体系结构设计问题,提出一种基于智能体的可变自主系统体系结构模型(MAAF).该模型分为USV可变自主部分、系统用户分析部分以及系统交互推理部分的设计和实现,并采用Agent信念-愿望-意图模型建立系... 详细信息

针对混合主动交互的水面无人艇(USV)系统体系结构设计问题,提出一种基于智能体的可变自主系统体系结构模型(MAAF).该模型分为USV可变自主部分、系统用户分析部分以及系统交互推理部分的设计和实现,并采用Agent信念-愿望-意图模型建立系统用户和USV的交互推理过程.最后,利用仿真实验验证,结果表明该系统结构模型满足混合主动交互和分布式与分层式相结合的决策要求,并且合理有效.

关键词：水面无人艇可变自主系统控制结构混合主动交互智能体

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半监督系数选择法的人脸识别

哈尔滨工程大学学报 2012年第7期33卷 855-861页

作者：崔鹏张汝波哈尔滨工程大学计算机科学与技术学院黑龙江哈尔滨150001 哈尔滨理工大学计算机科学与技术学院黑龙江哈尔滨150080

针对人脸识别过程中图像数据维数过高以及需要大量类别标记的问题,提出一种半监督离散余弦变换系数选择法,用以实现数据降维并提高识别率.该算法首先将图像数据进行离散余弦变换,根据频率特征通过预掩模选取有用信息;然后进行半监督约... 详细信息

针对人脸识别过程中图像数据维数过高以及需要大量类别标记的问题,提出一种半监督离散余弦变换系数选择法,用以实现数据降维并提高识别率.该算法首先将图像数据进行离散余弦变换,根据频率特征通过预掩模选取有用信息;然后进行半监督约束聚类,利用少量有标记样本的约束集,对训练图像进行聚类;根据类别搜索较高的判别系数值,获得系数选择掩模以及训练图像的投影阵.将测试图像离散余弦变换阵在此掩模上投影,计算其与训练图像投影阵距离,利用分类器进行分类.在ORL与Yale人脸数据库上的实验结果表明:所提方法的性能优于传统方法,并与主成分分析与线性判别分析进行组合,获得了90%以上的识别率.

关键词：半监督约束聚类人脸识别离散余弦变换主成分分析线性判别分析