中国科学院机构知识库网格系统: 检索

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	Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States 期刊论文 OAI收割 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1691-1704 作者: Wang, Xiaona; Chen, Jiahao; Qiao, Hong \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2023/03/20 Muscles Recurrent neural networks Mathematical models Bio-inspired control Robot kinematics Tendons Musculoskeletal system Biologically inspired control motor cortex movement preparation musculoskeletal system recurrent neural network (RNN)
	A High Efficient Biological Language Model for Predicting Protein-Protein Interactions 期刊论文 OAI收割 CELLS, 2019, 卷号: 8, 期号: 2, 页码: 1-12 作者: Wang, YB (Wang, Yanbin)[ 1,2 ]; You, ZH (You, Zhu-Hong)[ 1 ]; Yang, S (Yang, Shan)[ 1,2 ]; Li, X (Li, Xiao)[ 1 ]; Jiang, TH (Jiang, Tong-Hai)[ 1 ] \| 收藏 \| 浏览/下载：132/0 \| 提交时间：2019/05/16 protein-protein interactions bio-language processing sentencepiece convolution neural network unigram language model
	Duplication and Divergence Effect on Network Motifs in Undirected Bio-Molecular Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2015, 卷号: 9, 期号: 3, 页码: 312-320 作者: Wang, Pei; Lu, Jinhu; Yu, Xinghuo; Liu, Zengrong \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2018/07/30 Bio-molecular network duplication and divergence evolutionary mechanism network growth model network motif
	基于生物网络的关联发现关键技术研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2012 作者: 刘西收藏 \| 浏览/下载：75/0 \| 提交时间：2015/09/02 本体生物网络贝叶斯回归网络拓扑致病基因药物靶标网络药理学关联发现 Ontology Bio-network Bayesian Regression Network Topology Disease Gene Drug Target Network Pharmacology Association Discovery
	New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle 期刊论文 OAI收割 SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2010, 卷号: 53, 期号: 8, 页码: 2025-2031 作者: \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/02/02 bio-inspired intelligence unmanned combat aerial vehicle (UCAV) artificial brain autonomous control bayesian network bio-inspired hardware heterogeneous cooperative control
	New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle 期刊论文 OAI收割 SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2010, 卷号: 53, 期号: 8, 页码: 2025-2031 作者: Duan HaiBin; Shao Shan; Su BingWei; Zhang Lei \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2021/02/02 bio-inspired intelligence unmanned combat aerial vehicle (UCAV) artificial brain autonomous control bayesian network bio-inspired hardware heterogeneous cooperative control
	Water Constituents Inversion in Taihu Lake based on Artificial Neural Network and Bio-optical model 会议论文 OAI收割 Igarss: 2007 Ieee International Geoscience and Remote Sensing Symposium, Vols 1-12: Sensing and Understanding Our Planet, New York Fu, Qinghua; Wang, Shixin; Zhou, Yi; Guo, Jianping 收藏 \| 浏览/下载：22/0 \| 提交时间：2014/12/07 water quality Taihu Lake MODIS Neutral Network Bio-optical model TOKYO BAY MATTER
	Responses of higher plants to abiotic stresses and agricultural sustainable development 期刊论文 iSwitch采集 Journal of plant interactions, 2007, 卷号: 2, 期号: 3, 页码: 135-147 作者: Wu, Gang; Zhang, Chuang; Chu, Li-Ye; Shao, Hong-Bo 收藏 \| 浏览/下载：35/0 \| 提交时间：2019/05/10 Crops Dryland farming Abiotic stress Signal transduction Agricultural sustainable development Bio-water saving Physiological mechanisms Plant gene regulatory network
	The signal extraction of fetal heart rate based on wavelet transform and BP neural network (EI CONFERENCE) 会议论文 OAI收割 Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, November 29, 2004 - December 1, 2004, Singapore, Singapore Hong Y. X.; Cheng Z. B.; Dai F. H. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 This paper briefly introduces the collection and recognition of bio-medical signals the other threading is analyzing data. Using the method designs the method to collect FM signals. A detailed discussion on the system hardware it is broaden to analyze the signal in real-time. Wavelet transform to remove the main interference in the FM and by adding time-window to recognize with BP network structure and functions is also given. Under LabWindows/CVI Finally the results of collecting signals and BP networks are discussed.8 pregnant women's signals of FM were collected successfully by using the sensor. The correctness rate of BP network recognition is about 83.3% by using the above measure. the hardware and the driver do compatible the hardware equipment work properly actively. The paper adopts multi threading technology for real-time analysis and makes use of latency time of CPU effectively expedites program reflect speed improves the program to perform efficiency. One threading is collecting data