中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共8条，第1-8条

帮助

条数/页：排序方式：
	Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications 期刊论文 OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14 作者: Wei, Qinglai; Han, Liyuan; Zhang, Tielin \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2024/03/27 Task analysis Neurons Trajectory Behavioral sciences Dynamic programming Control theory Biology Direct dynamic programming (DDP) Lorenz system multiscale dynamics point-to-point control recursive least square (RLS) spiking neural network (SNN)
	SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry 期刊论文 OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8902-8919 作者: Gao, Lin; Sun, Jia-Mu; Mo, Kaichun; Lai, Yu-Kun; Guibas, Leonidas J. \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2023/12/04 3Dindoor scene synthesis deep generative model fine-grained mesh generation graph neural network recursive neural network relationship graphs variational autoencoder
	Learning Adaptive Semi-Supervised Multi-Output Soft-Sensors with Co-Training of Heterogeneous Models 期刊论文 OAI收割 IEEE Access, 2020, 卷号: 8, 页码: 46493-46504 作者: Li, Dong; Huang DP(黄道平); Yu GP(于广平); Liu YQ(刘乙奇) \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2020/04/11 Soft-sensors, semi-supervised co-training, multi-output recursive partial least square (RPLS) long short-term memory recurrent neural network (LSTM)
	Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems 期刊论文 OAI收割 IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 卷号: 10, 期号: 2, 页码: 80-92 作者: Chang, Jianlong; Wang, Lingfeng; Meng, Gaofeng; Xiang, Shiming; Pan, Chunhong \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2018/01/16 Visual Occlusion Recursive Segmentation Vehicle Classification Deep Convolutional Neural Network
	A cascaded method for text detection in natural scene images 期刊论文 OAI收割 Neurocomputing, 2017, 卷号: 238, 期号: 238, 页码: 307-315 作者: Yang, Zheng; Qing, Li; Jie, Liu; Heping, Liu; Gen, Li \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/10/09 Extremal Regions Recursive Local Search Text Line Entropy Convolutional Neural Network
	A cascaded method for text detection in natural scene images 期刊论文 OAI收割 NEUROCOMPUTING, 2017, 卷号: 238, 期号: 238, 页码: 307-315 作者: Zheng, Yang; Li, Qing; Liu, Jie; Liu, Heping; Li, Gen \| 收藏 \| 浏览/下载：37/0 \| 提交时间：2017/07/18 Extremal Regions Recursive Local Search Text Line Entropy Convolutional Neural Network
	Design of controlling system in multi-function durability testing device for vehicle vacuum booster with brake master cylinder (EI CONFERENCE) 会议论文 OAI收割 2012 International Conference on Mechanical and Electronic Engineering, ICMEE 2012, June 23, 2012 - June 24, 2012, Hefei, China Hao X.; Zhang R.; Li X.; Wang M. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 The quality of vehicle vacuum booster with brake master cylinder is related to the safe of drivers and automobiles. The testing experiment must be executed strictly before leaving factory based on the national standards.The paper introduces the controlling system of multi-function durability testing device which is designed for doing durable testing experiments and Anti-lock braking system (ABS) performance experiments. The structure and theory of device is presented. The controlling system is illuminated in detail. To test the dynamic property this system was identified by a recursive BP neural network. According to the character of a great deal of sensors and actuators the high precision capabilities and reliability the distributed control mode (DCS) including the computer and PLC by RS-485 bus is utilized. The four channels testing experiments are achieved at the same time. The test data is directly memorized into the computer. The results of general endurance and ABS endurance testing experiments are shown to demonstrate the excellent performance of the testing device. 2012 Springer-Verlag Berlin Heidelberg.
	The united adaptive learning algorithm for the link weights and shape parameter in RBFN for pattern recognition 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 1997, 卷号: 11, 期号: 6, 页码: 873-888 作者: Huang, DS \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2018/10/10 Neural Networks Recognition Radial Basis Function Network Gaussian Kernel Function Shape Parameter Forgotten Factor Recursive Least Squares Adaptive Gradient Descending One-dimensional Image