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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...
LANDSLIDE FEATURES INTERPRETED BY NEURAL NETWORK METHOD USING A HIGH-RESOLUTION SATELLITE IMAGE AND DIGITAL TOPOGRAPHIC DATA
Landslides Earthquakes Hazards Quickbird LIDAR Neural
2015/7/29
Landslides are natural phenomena for the dynamic balance of earth surface. Due to the frequent occurrences of Typhoons and
earthquake activities in Taiwan, mass movements are common threatens to our...
Modeling of heat and entropy sorption of maize (cv. Sc704): neural network method
maize back propagation entropy isosteric heat sorption isotherm
2014/2/26
Equilibrium moisture content of maize affects its values of dehydration heat and entropy. Precise prediction of heat and entropy with regard to its equilibrium moisture content is a simple and fast me...
A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography
Monte-Carlo-Based Network Bioluminescence Tomography
2009/9/7
We present an approach based on the improved Levenberg Marquardt (LM) algorithm of backpropagation (BP) neural network to estimate the light source position in bioluminescent imaging. For solving the ...
The Network Method of Orthodontic Diagnosis.
Comparison of different forms of the Multi-layer Feed-Forward Neural Network method used for river flow forecasting
River flow forecast combination multi-layer feed-forward neural network
2009/3/17
The Multi-Layer Feed-Forward Neural Network (MLFFNN) is applied in the context of river flow forecast combination, where a number of rainfall-runoff models are used simultaneously to produce an overal...