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Multilayer perceptron neural network activated by adaptive Gaussian radial basis function and its application to predict lid-driven cavity flow 被引量:2
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作者 qinghua jiang Lailai Zhu +1 位作者 Chang Shu Vinothkumar Sekar 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2021年第12期1757-1772,共16页
To improve the performance of multilayer perceptron(MLP)neural networks activated by conventional activation functions,this paper presents a new MLP activated by univariate Gaussian radial basis functions(RBFs)with ad... To improve the performance of multilayer perceptron(MLP)neural networks activated by conventional activation functions,this paper presents a new MLP activated by univariate Gaussian radial basis functions(RBFs)with adaptive centers and widths,which is composed of more than one hidden layer.In the hidden layer of the RBF-activated MLP network(MLPRBF),the outputs of the preceding layer are first linearly transformed and then fed into the univariate Gaussian RBF,which exploits the highly nonlinear property of RBF.Adaptive RBFs might address the issues of saturated outputs,low sensitivity,and vanishing gradients in MLPs activated by other prevailing nonlinear functions.Finally,we apply four MLP networks with the rectified linear unit(ReLU),sigmoid function(sigmoid),hyperbolic tangent function(tanh),and Gaussian RBF as the activation functions to approximate the one-dimensional(1D)sinusoidal function,the analytical solution of viscous Burgers’equation,and the two-dimensional(2D)steady lid-driven cavity flows.Using the same network structure,MLP-RBF generally predicts more accurately and converges faster than the other threeMLPs.MLP-RBF using less hidden layers and/or neurons per layer can yield comparable or even higher approximation accuracy than other MLPs equipped with more layers or neurons. 展开更多
关键词 Multilayer perceptron neural network Activation function Radial basis function Numerical approximation
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Single cell RNA and immune repertoire prowling of COVID-19 patients reveal novel neutralizing antibody 被引量:1
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作者 Fang Li Meng Luo +15 位作者 Wenyang Zhou Jinliang Li Xiyun Jin Zhaochun Xu Liran Juan Zheng Zhang Yuou Li Renqiang Liu Yiqun Li Chang Xu Kexin Ma Huimin Cao Jingwei Wang Pingping Wang Zhigao Bu qinghua jiang 《Protein & Cell》 SCIE CSCD 2021年第10期751-755,共5页
There is no doubt that COVID-19 outbreak is currently the biggest public health threat,which has caused catastrophic con sequences in many countries and regions.As host immunity is key to fighting against virus infect... There is no doubt that COVID-19 outbreak is currently the biggest public health threat,which has caused catastrophic con sequences in many countries and regions.As host immunity is key to fighting against virus infection,it is important to characterize the immunologic changes in the COVID-19 patients,and to explore potential therapeutic candidates.The most efficient ways to end this pandemic are to vaccinate the susceptible population,and to use specific drugs,such as monoclonal antibodies against the viral spike protein(S protein),to treat the affected individuals.Several promising neutralizing antibodies have recently been reported(Cao et al.,2020;Lv et al.,2020). 展开更多
关键词 PATIENTS IMMUNITY DRUGS
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Complete cohomology for complexes with finite Gorenstein AC-projective dimension 被引量:1
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作者 jiangsheng HU Yuxian GENG qinghua jiang 《Frontiers of Mathematics in China》 SCIE CSCD 2016年第4期901-920,共20页
We study complete cohomology of complexes with finite Gorenstein AC-projective dimension. We show first that the class of complexes admitting a complete level resolution is exactly the class of complexes with finite G... We study complete cohomology of complexes with finite Gorenstein AC-projective dimension. We show first that the class of complexes admitting a complete level resolution is exactly the class of complexes with finite Gorenstein AC-projective dimension. This lets us give some general techniques for computing complete cohomology of complexes with finite Gorenstein AC- projective dimension. As a consequence, the classical relative cohomology for modules of finite Gorenstein AC-projective dimension is extended. Finally, the relationships between projective dimension and Gorenstein AC-projective dimension for complexes are given. 展开更多
关键词 Gorenstein AC-projective complete level resolution complete cohomology
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