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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Barron Type Spaces in Neural Network Approximation
神经网络 巴伦类型空间 经典函数空间
2023/4/13
We shall discuss various Barron type spaces arising from neural networks. The relations among these spaces will be clarified, and we shall also establish the relationship between Barron type spaces an...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Deep neural network approximation to inverse conductivity problems for elliptic equations
椭圆方程 反电导率 深度神经网络
2023/4/14
The focus of this talk is on the numerical methods used to identify parameters in partial differential equations. Typically, an optimization approach is used to solve this class of inverse problems, w...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：A two-stage physics-informed neural network method based on conserved quantities and applications in localized wave solutions
守恒量 两阶段物理信息 神经网络方法 局部波解
2023/5/5
With the advantages of fast calculating speed and high precision, the physics-informed neural network method opens up a new approach for numerically solving nonlinear partial differential equations. B...
Artificial intelligence and machine learning have become crucial tools for medical imaging, autonomous vehicles and many other applications, but engineers warn that the exponential increase in compute...
DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
UAV, monitoring/inspection Anomaly Detection Deep Learning Photovoltaic Panels Thermography Classification
2018/6/4
The number of distributed Photovoltaic (PV) plants that produce electricity has been significantly increased, and issue of monitoring and maintaining a PV plant has become of great importance and invo...
中国地质大学科学技术发展院陈略峰, 吴敏等自动化学院 Information Sciences, 2018. Softmax Regression Based Deep Sparse Autoencoder Network for Facial Emotion Recognition in Human-Robot Interaction
深度；学习；情感；识别；理解；计算；智能；领域
2021/10/21
近日，中国地质大学自动化学院复杂系统先进控制与智能自动化湖北省重点实验室情感计算团队，有关“基于深度学习的情感识别与理解”研究成果发表在计算智能领域国际重要期刊《Information Sciences》上。该文第一作者为自动化学院陈略峰老师，通讯作者为自动化学院吴敏教授。
NSF-funded researchers demonstrate advanced network applications at 2017 Smart Cities Connect Conference&Expo
NSF-funded researchers demonstrate advanced network applications 2017 Smart Cities Connect Conference Expo
2017/7/24
The National Science Foundation (NSF) has long been a leader in supporting research that has formed the basis for smart and connected communities, pushing sensor and networking capabilities beyond tod...
第五届网络管理与监测国际研讨会（5th International Workshop on Network Management and Monitoring） (NetMM 2017)
第五届 网络管理与监测 国际研讨会
2017/3/27
NetMM 2017 is the fifth NetMM successful Workshop on Network Management and Monitoring. NetMM offers an opportunity for researchers and industrials to present their novel and innovative methodologies,...
Stanford researchers create a high-performance,low-energy artificial synapse for neural network computing
Stanford researchers high-performance low-energy artificial synapse neural network computing
2017/3/14
For all the improvements in computer technology over the years, we still struggle to recreate the low-energy, elegant processing of the human brain. Now, researchers at Stanford University and Sandia ...
Delay-Aware Predictive Network Selection in Data Offloading
Delay-Aware Predictive Network Selection Data Offloading
2016/1/22
We tackle the network selection problem in operator-initiated mobile data offloading by considering both the predictive and non-predictive cases. For the non predictive case, we use the Lyapunov optim...
Dopamine Modulation of Two Delayed Rectifier Potassium Currents in a Small Neural Network
Potassium Currents Small Neural Network
2015/8/25
Gruhn, Matthias, John Guckenheimer, Bruce Land, and Ronald
M. Harris-Warrick. Dopamine modulation of two delayed rectifier potassium
currents in a small neural network. J Neurophysiol 94: 2888–2900,...
Dynamic network energy management via proximal message passing
Network equipment network target device circuit power
2015/8/7
We consider a network of devices, such as generators, fixed loads, deferrable loads, and storage devices, each with its own dynamic constraints and objective, connected by AC and DC lines. The problem...
A modular network treatment of Baars' Global Workspace consciousness model
consciousness general cognitive model global workspace information theory phase transition random network
2015/7/31
Adapting techniques from random and semirandom network theory, this work provides an alternative to the renormalization and phase transition methods used in Wallace's (2005a) treatment of Baars' Globa...
KNOWLEDGE-BASED NEURAL NETWORK FOR LINE FLOW CONTINGENCY SELECTION AND RANKING
MW security assessment Energy Management Centers Fuzzy rules Domain Knowledge IEEE 14-bus system
2015/7/31
The Line flow Contingency Selection and Ranking (CS & R) is performed to rank the critical contingencies in order of their severity. An Artificial Neural Network based method for MW security assessmen...
Application of Artificial Neural Network Technology in Water Color Remote Sensing Inversion of Inland Water Body Using Tm Data
Artificial Neural Network Model Water Color Remote Sensing Extraction Lake Landsat Image
2015/7/8
For water color remote sensing study of inland water body, terrestrial satellite is often a good data source, because it has high spatial
resolution. However, the precision of water color remote sens...