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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2020     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5285-5299 作者:  Xiao, Jin;  Jia, Yanlin;  Jiang, Xiaoyi;  Wang, Shouyang 收藏  |  浏览/下载：15/0  |  提交时间：2021/04/26 Biological system modeling  Data models  Biological neural networks  Predictive models  Neurons  Mathematical model  Complex-valued external criterion  complex-valued group method of data handling (GMDH)-type neural network  parameter estimation  real-valued classification   Prediction strategy based on reference line for dynamic multi-objective optimization 期刊论文 Kongzhi yu Juece/Control and Decision, 2020, 卷号: 35, 期号: 7, 页码: 1547-1560 作者:  Li, Er-Chao;  Zhao, Yu-Meng 收藏  |  浏览/下载：11/0  |  提交时间：2020/11/14 Benchmarking  Evolutionary algorithms  Bench-mark problems  Dynamic multi-objective problems  Dynamic multiobjective optimization  Environmental change  Historical information  Pareto solution  Self- evolutions  Uniform distribution   Feedback and uncertainty: Some basic problems and results 期刊论文 ANNUAL REVIEWS IN CONTROL, 2020, 卷号: 49, 页码: 27-36 作者:  Guo, Lei 收藏  |  浏览/下载：5/0  |  提交时间：2021/01/14 Feedback  Uncertainty  Nonlinear systems  Adaptive control  Least-squares  PID control  Stability   A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label 会议论文 Kunming, China, July 20, 2019 - July 22, 2019 作者:  Luo, Mengzhen;  Shi, Xiaoyu;  Ji, Qianqian;  Shang, Mingsheng;  He, Xianbo 收藏  |  浏览/下载：16/0  |  提交时间：2020/02/18 Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文 SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474 作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin 收藏  |  浏览/下载：10/0  |  提交时间：2022/03/01 Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge   Image Clustering Based on Multi-Scale Deep Maximize Mutual Information and Self-Training Algorithm 期刊论文 IEEE ACCESS, 2020, 卷号: 8, 页码: 160285-160296 作者:  Yu SQ(余思泉);  Shen GP(沈贵萍);  Wang PY(王佩瑶);  Wang YN(王宇宁);  Wu CD(吴成东) 收藏  |  浏览/下载：25/0  |  提交时间：2020/10/06 Clustering algorithms  Mutual information  Image representation  Neural networks  Clustering methods  Feature extraction  Task analysis  Representation learning  image clustering  mutual information maximization  self-training algorithm