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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...
CONVOLUTIONAL NEURAL NETWORK FOR CAMERA POSE ESTIMATION FROM OBJECT DETECTIONS
Camera Pose CNN Head Detection Computer Graphics
2017/6/19
Known scene geometry and camera calibration parameters give important information to video content analysis systems. In this paper, we propose a novel method for camera pose estimation based on people...
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 ...
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,...
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...
Enhanced Self-Organizing Map Neural Network for DNA Sequence Classification
Bioinformatics Artificial Neural Networks Self-Organizing Map Classification Sequence Alignment
2013/1/28
The artificial neural networks (ANNs), among different soft computing methodologies are widely used to meet the challenges thrown by the main objectives of data mining classification techniques, due t...
A novel method for lung segmentation on chest CT images: complex-valued artificial neural network with complex wavelet transform
Lung segmentation complex wavelet transform complex-valued artificial neural network
2010/10/12
Image segmentation is an important step in many computer vision algorithms. The objective of segmentation is to obtained an optimal region of convergences (ROC). Error in this stage will impact all hi...
Hybrid Neural Network Architecture for On-Line Learning
Neural Networks Instantaneously Trained Networks Back-Propagation On-Line Learning
2013/1/28
Approaches to machine intelligence based on brain models use neural networks for generalization but they do so as signal processing black boxes. In reality, the brain consists of many modules that ope...
Artificial neural network based chaotic generator for cryptology
Artificial neural network chaos cryptology
2010/10/12
Chaotic systems are sensitive to initial conditions, system parameters and topological transitivity and these properties are also remarkable for cryptanalysts. Noise like behavior of chaotic systems i...
An Intelligent Machine Condition Monitoring System Using Time-Based Analysis: Neuro-Fuzzy Versus Neural Network
Condition Monitoring Time Analysis Neuro-Fuzzy
2010/1/15
Monitoring and predicting machine components' faults play an important role in maintenance actions. Developing an
intelligent system is a good way to overcome the problems of maintenance management. ...