Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence最新文献_第5页

Operation Analysis of a new II-Type 5-Level Inverter for Robot Motor Drive 新型ii型五电平机器人电机驱动变频器的运行分析

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366329

Li Cheng, Lixue Zhu, Yanshen Hu

引用次数: 0

Review of SLAM Techniques For Autonomous Underwater Vehicles 自主水下航行器SLAM技术综述

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366262

Wenlong Zhao, Tao He, Abdou Yahouza M. Sani, Tingting Yao

引用次数: 11

A Deep Learning Approach Using DeepGBM for Credit Assessment 使用DeepGBM进行信用评估的深度学习方法

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366333

Xue Chen, Zhenlong Liu, Ming Zhong, Xin Liu, Peng Song

{"title":"A Deep Learning Approach Using DeepGBM for Credit Assessment","authors":"Xue Chen, Zhenlong Liu, Ming Zhong, Xin Liu, Peng Song","doi":"10.1145/3366194.3366333","DOIUrl":"https://doi.org/10.1145/3366194.3366333","url":null,"abstract":"In the loan business, the bank needs to conduct credit assessment on customers to reduce the loan risk. How to assess personal credit has become a problem which is worth studying. In the traditional credit assessment methods, logistic regression, decision tree, random forest, and other methods were often used to conduct credit assessment for individuals. In recent years, a new machine learning method, LightGBM [1] has also been used in credit assessment and achieved good results. In the models mentioned above, the problem of sparse categorical features and dense numerical features of the credit assessment data set is not solved yet. DeepGBM[2] proposed by Guolin Ke, Zhenhui Xu* and Jia Zhang can solve the problem of credit assessment data set very well. Therefore, our research adopted the latest deep learning framework DeepGBM. The deep learning framework of DeepGBM consists of two parts, CatNN, and GBDT2NN, which are used to deal with sparse categorical features and dense numerical features, respectively. This paper used a data set from Kaggle: Home Credit Default Risk. We had conducted several different experimental methods on this data set. The final results of these experiments demonstrate that the performance of DeepGBM is better than other models.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116786637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Design of IGBT Drive Protection Circuit Based on ACPL-T350 基于ACPL-T350的IGBT驱动保护电路设计

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366299

Xi Chen, Zhiping Wang

引用次数: 0

Dynamic surface asymptotic tracking of uncertain nonlinear systems with backlash-like hysteresis 具有类间隙滞后的不确定非线性系统的动态表面渐近跟踪

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366205

Lulu Liu, Y. Liu

引用次数: 0

Omnidirectional Mobile Robot Structure Design 全向移动机器人结构设计

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366228

Dawei Dong, Yu Fang, Zhifeng Zhou

引用次数: 0

Design of Automatic Cruise Car Based on UWB Positioning 基于超宽带定位的自动巡航车设计

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366297

Pengcheng Xu, Yuanming Gong, Jinyu Pan

引用次数: 0

A New Method for Knowledge Discovery of Complex Data Based on Structural Partial-Ordered Theory 基于结构偏序理论的复杂数据知识发现新方法

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366203

Shaoxiong Li, Xiaolei Zhang, Wenxue Hong

{"title":"A New Method for Knowledge Discovery of Complex Data Based on Structural Partial-Ordered Theory","authors":"Shaoxiong Li, Xiaolei Zhang, Wenxue Hong","doi":"10.1145/3366194.3366203","DOIUrl":"https://doi.org/10.1145/3366194.3366203","url":null,"abstract":"In order to develop a new knowledge discovery method with higher generalization ability, this paper proposes the generalized model of partial-ordered structure diagrams. This model is based on two philosophical methodologies: the concept driven methodology and the data driven methodology. In essence, the concept driven methodology is top-down principle, that is, the attributes representing object universality are put at the top of the structural partial-ordered diagram. While the data driven methodology is bottom-up principle in which the attributes representing object specificity are put at the top of the diagram. The method is described by the mathematical partial order theory and formal concept analysis theory. Finally, three concrete data sets are used as examples to generate diagrams. The generated diagrams can clearly reveal the knowledge implied in the complex data. It is proven that the proposed generation theory and the model constructed with partial-ordered diagrams have a good ability of generalization, and they are original methods which can be used in different domains for knowledge discovery.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121653652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vibration analysis and passive control of SCARA robot arm SCARA机械臂振动分析与被动控制

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366210

Zhi Tang, Yingxuan Pan, Zhi Cheng

引用次数: 2

Design and Implementation of Aviation Switch Signal Lamp Test Equipment 航空开关信号灯测试设备的设计与实现

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366314

Q. Tao, Zhifeng Zhou

引用次数: 0