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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：VC-PINN: variable coefficient physics-informed neural network for forward and inverse problems of PDEs with variable coefficient
VC-PINN 变系数 偏微分方程 正逆问题 变系数物理 知情神经网络
2023/11/13
The talk proposes a deep learning method specifically dealing with the forward and inverse problem of variable coefficient partial differential equations-Variable Coefficient Physics-Informed Neural N...
In this study, shape optimisation of cantilever beams has been carried out using neural network. Considering different geometrical parameters, finite element analyses of cantilever beams are carried o...
A neural-network to solving the output contention in packet switching networks
Optical packets switching Head-of-line
2010/9/14
Optical packet switching based onWavelength Division Multiplexing (WDM) offers the possibility of increased granularity and more effective use bandwidth in large capacity systems, on scale of Tb/s. Th...
Time neural network minimum distance classifier and its application to optical character recognition problem
neural network classifier minimum distance classification
2010/9/13
We propose a special neural network model, NNC, (Neural Network Classifier), which with a classification problem of l classes C1,C2, ...,Cl, classifies an unknown vector to one class using a minimum d...
New multi-domains image watermarking method based on multi-watermarks embedding and neural network segmentation
Image watermarking Neural network segmentation
2010/9/15
The need for a robust method that protects owner rights against unintended or malicious stealing, which has arisen because of the rapid increase of Internet data exchange and multimedia use, in additi...
BIFURCATION OF PERIODIC SOLUTION IN A THREE-UNIT NEURAL NETWORK WITH DELAY
Hopf bifurcation bifurcation
2007/12/11
A system of three-unit networks with no self-connection is investigated, the general formula for bifurcation direction of Hopf bifurcation is calculated, and the estimaion formula of the period for pe...
An Adaptive Neural Network Model for Nonlinear Programming Problems
adaptive neural network canonical neural network
2007/12/11
In this paper a canonicalneural network with adaptively changing synaptic weights and activation function parameters is presented to solve general nonlinear programming problems. The basic part of the...
期刊信息
篇名
A cross-associative neural network for SVD of nonsquared data matrix in signal processing
语种
英文
撰写或编译
撰写
作者
Da-Zheng Feng,Zheng Bao and Xian-Da Zhang
第一作者单位
西安电子科技大学
刊物名称
IEEE Trans. Neural Ne...
期刊信息
篇名
A cross-associative neural network used as SVD of non-square data matrix or cross-correlation matrix in signal processing
语种
英文
撰写或编译
撰写
作者
Da-Zheng Feng,Hai-Qin Zhang,Xian-Da Zhang,and Zheng ...