Hild, Kenneth E., IIAttias, Hagal T.Nagarajan, Srikantan S. 508-519 Exponential stability of discrete-time genetic regulatory networks with delays Cao, JindeRen, Fengli 520-523 Wavelet basis function neural networks for sequential learning
近日,生命科学与技术学院脑器交互研究团队在人工智能领域国际顶级期刊《IEEE Transactions on Neural Networks and Learning Systems》和《IEEE Transactions on Systems, Man and Cybernetics: Systems》先后发表题为《An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of ...
《IEEE Transactions on Neural Networks and Learning Systems》(IEEE T-NNLS)是美国电气和电子工程师协会(IEEE)于1990年创办的在机器学习、神经网络以及人工智能领域的学术性期刊,旨在出版神经网络和学习系统方面的理论、设计和应用的技术性文章,是人工智能、机器学习、模式识别、机器视觉等多个研究领域的国际顶级期刊,...
《IEEE Transactions on Neural Networks and Learning Systems》(IEEE T-NNLS)是美国电气和电子工程师协会(IEEE)于1990年创办的在机器学习、神经网络以及人工智能领域的学术性期刊,旨在出版神经网络和学习系统方面的理论、设计和应用的技术性文章,是人工智能、机器学习、模式识别、机器视觉等多个研究领域的国际顶级期刊,...
近日,生命科学与技术学院脑器交互研究团队在人工智能领域国际顶级期刊《IEEE Transactions on Neural Networks and Learning Systems》和《IEEE Transactions on Systems, Man and Cybernetics: Systems》先后发表题为《An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of ...
In International Joint Conference on Neural Networks, vol. 3, pp. 2396{2401. IEEE, 1991. Lee-86] Y. C. Lee, G. Doolen, H. Chen, G. Sun, T. Maxwell, H. Lee, and C. L. Giles. Machine Learning Using a Higher Order Correlation Network. Physica D: Nonlinear Phenomena, vol. 22,...
T.,Yang, Q - 《IEEE Transactions on Neural Networks》 被引量: 1346发表: 2011年 Kernel-based Methods and Function Approximation C: IEEE Transactions on Neural Networks,2001,12(2):1 244-1 249.Baudat, G. and Anouar, F., "Kernel-based methods and function approximation," ... G Baudat,F...
neural network prescribed performance controller for uncertain MIMO feedback linearizable systems," IEEE Transactions on Neural Networks and Learning Systems, vol... A Theodorakopoulos,GA Rovithakis - 《IEEE Transactions on Neural Networks & Learning Systems》 被引量: 20发表: 2015年 A simplified ada...
量化压缩神经网络(Quantized Neural Network)正广泛部署于各种计算资源受限场景中。然而,其在实际黑盒场景中的对抗样本鲁棒性尚未得到充分研究。前人的工作表明,模型量化会导致量化漂移(quantization shift)和梯度错配(gradient misalignment)两种现象,从而...
whereinarobustdynamicneuralnetworkisused toasymptoticallyidentifytheuncertainsystemwithadditive disturbances,andasetofcriticandactorNNsareusedtoapprox- imatethevaluefunctionsandequilibriumpolicies,respectively. Theweightupdatelawsfortheactorneuralnetworks(NNs) aregeneratedusingagradient-descentmethod,andthecritic NNsa...