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学术报告-Revisiting Graph Convolutional Networks: From Paradigm to Application（图）
学术报告 图神经网络 王石平
2024/4/15
图神经网络（Graph Neural Network，GNN）是指使用神经网络来学习图结构数据，提取和发掘图结构数据中的特征和模式，满足聚类、分类、预测、分割、生成等图学习任务需求的算法总称。如何从图数据（网络数据）中学习有效的数据表征是大数据与人工智能时代的一大挑战。为此，本次汇报将从一种特殊的谱图神经网络（图卷积神经网络）出发，介绍相应的消息传递范式，揭示传统机器学习和图神经网络的内在关联，并...
APPLICATION OF CLASSIFICATION ALGORITHM OF MACHINE LEARNING AND BUFFER ANALYSIS IN TORISM REGIONAL PLANNING
the Chaohu Lake Land Use Classification Change Monitoring SVM Buffer Zone Analysis
2018/5/16
Remote Sensing (RS) and Geography Information System (GIS) technologies are widely used in ecological analysis and regional planning. With the advantages of large scale monitoring, combination of poin...
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...
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation
Modelling Annotator Bias Multi-task Gaussian Processes:Machine Translation Quality Estimation
2014/3/20
Annotating linguistic data is often a complex, time consuming and expensive endeavour. Even with strict annotation guidelines, human subjects often deviate in their analyses, each bringing different b...
Application of Neural Net Modeling and Inverse Control to the Desulphurization of Hot Metal Process
Inverse control Neural network Constrained optimization
2010/1/14
Optimization techniques are powerful in determining inputs to a process that will drive its output to a desired target. This
inverse control problem reduces to minimizing a positive cost function tha...
Extraction and Recognition of Nonlinear Interval-Type Features Using Symbolic KDA Algorithm with Application to Face Recognition
Nonlinear Interval-Type Features Symbolic KDA Algorithm Face Recognition
2009/9/4
We present symbolic kernel discriminant analysis (symbolic KDA) for face recognition in the framework of symbolic data analysis. Classical KDA extracts features, which are single-valued in nature to r...
Comparison of Simulation Algorithms for the Hopfield Neural Network: An Application of Economic Dispatch
Simulation Algorithms Hopfield Neural Network Economic Dispatch
2009/7/27
This paper is mainly concerned with an investigation of the suitability of Hopfield neural network structures in solving the power economic dispatch problem. For Hopfield neural network applications t...
The application of artificial intelligence in optimisation of automotive components for reuse
Design for reuse Automotive components End-of-life vehicle
2010/1/19
Purpose: Automotive component reuse as one of the product recovery strategy is now gaining importance in view
of its impact on the environment. Research and development on components design and manuf...
ASPECTS REGARDING THE NEURO-ADAPTIVE CONTROL STRUCTURE PROPRIETIES.APPLICATION TO THE NONLINEAR PNEUMATIC SERVO SYSTEM BENCHMARK
neural network reference model neuro-adaptive control
2010/1/12
Generally, control techniques based on multilayer neural networks are used especially in the case of non-linear process and less in case of linear process, because classical control techniques are goo...