中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共11条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
Robust mobile robot navigation in cluttered environments based on hybrid adaptive neuro-fuzzy inference and sensor fusion 期刊论文
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 卷号: 34, 期号: 10, 页码: 9060-9070
作者:  Haider, Muhammad Husnain;  Wang, Zhonglai;  Khan, Abdullah Aman;  Ali, Hub;  Zheng, Hao;  Usman, Shaban;  Kumar, Rajesh;  Bhutta, M. Usman Maqbool;  Zhi, Pengpeng
收藏  |  浏览/下载：44/0  |  提交时间：2023/11/17
ANFIS  GPS  Mobile robot  Obstacle avoidance  Autonomous navigation  
Adaptive Neuro-fuzzy Algorithm for Pitch Control of Variable-speed Wind Turbine 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 页码: 11
作者:  Asghar, Aamer Bilal;  Naveed, Khazina;  Xiong, Gang;  Wang, Yong
收藏  |  浏览/下载：190/0  |  提交时间：2022/11/14
ANFIS  fuzzy logic control  MLPFFNN  pitch control  wind turbine (WT)  
Deep patch learning algorithms with high interpretability for regression problems 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 38
作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng;  Wang, Shiping
收藏  |  浏览/下载：215/0  |  提交时间：2022/07/25
deep learning  deep patch learning fuzzy system  fuzzy C-means clustering  interpretability  maximum information coefficient (MIC)  Pearson's correlation coefficients (PCC)  
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems 期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng
收藏  |  浏览/下载：203/0  |  提交时间：2022/07/25
Computational modeling  Training  Microwave integrated circuits  Deep learning  Data models  Artificial neural networks  Training data  Fuzzy c-means (FCM) clustering  maximal information coefficient (MIC)  random input (RI)  deep patch learning classifier  interpretability  
Deep Neural Fuzzy System Oriented toward High-Dimensional Data and Interpretable Artificial Intelligence 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 16, 页码: 19
作者:  Chen, Dewang;  Cai, Jijie;  Huang, Yunhu;  Lv, Yisheng
收藏  |  浏览/下载：165/0  |  提交时间：2021/11/03
interpretability  high-dimensional data  adaptive neuro-fuzzy inference system  deep neural fuzzy system  
基于平行视觉的小样本医学图像识别研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
作者:  沈甜雨
Adobe PDF(10393Kb)  |  收藏  |  浏览/下载：338/17  |  提交时间：2021/06/16
平行视觉  小样本学习  医学图像识别  病灶区域分割  病变分级  
Selection of Observation Position and Orientation in Visual Servoing with Eye-in-vehicle Configuration for Manipulator 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 761-774
作者:  Ma HX(马洪轩);  Zou W(邹伟);  Zhu Z(朱政);  Zhang C(张弛);  Kang ZB(亢兆兵)
Adobe PDF(3894Kb)  |  收藏  |  浏览/下载：188/50  |  提交时间：2021/06/04
Eye-in-vehicle  observation position  mobile robot  visual servoing  pan-tilt camera platform  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：345/76  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method 期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 21, 页码: 10931-10938
作者:  Ahmad, Waheed;  Ahmad, Ayaz;  Iqbal, Amjad;  Hamayun, Muhammad;  Hussain, Anwar;  Rehman, Gauhar;  Khan, Salman;  Khan, Ubaid Ullah;  Khan, Dawar;  Huang, Lican
收藏  |  浏览/下载：226/0  |  提交时间：2020/03/30
Information gain (IG)  The adaptive neuro-fuzzy inference system (ANFIS)  Hepatitis  Diagnosis  Machine learning  
Building Energy Consumption Prediction: An Extreme Deep Learning Approach 期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 10, 页码: 1-20
作者:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
浏览  |  Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：344/56  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine