By using the Lyapunov stability theory and linear matrix inequality (LMI) technique, some robust stability conditions guaranteeing the global robust convergence of the equilibrium point are derived. Two numerical examples are given to show the effectiveness of the proposed results.C. VIDHYAP. BALASUBRAMANIAM
Neural, Parallel & Scientific Computations, 10 (2002), pp. 157-178 Google Scholar McCam, 1992 D.W. McCam A neural network short-term forecast of significant thunderstorm Weather Forecast., 7 (1992), pp. 525-534 Google Scholar Mitra et al., 2010 A.K. Mitra, P.K. Kundu, A.K. Shar...
CN Manikopoulos,R Hormis - 《Neural Parallel & Scientific Computations》 被引量: 0发表: 1994年 Binary coding of speech spectrograms using a deep auto-encoder deep learningspeech feature extractionneural networksauto-encoderbinary codesboltzmann machineThis paper reports our recent exploration of the la...
In the vanilla data-parallel approach, the training across processors is synchronized by averaging the gradient of loss function across and subsequently broadcasting, enforcing the same network architectures on each processor. In scientific machine learning, the solution of the underlying physical laws is...
Please take note that both the structural and functional studies were conducted in parallel, operating independently from one another. The conclusions drawn from the structural study did not inform the hypotheses or analyses undertaken in the functional study. Participants showed up for one session in...
proposed system, the proposed architecture performs the same the system proposed in16, where computation is executed at the speed of light and the information is processed on each neuron/pixel of the phase mask is highly parallel. Thus, the time of light flight is negligible and the ...
By using a semi-discrete method, the existence and uniqueness of the global generalized solutions for ... Q He,L Kang - 《Neural Parallel & Scientific Computations》 被引量: 62发表: 1994年 A Hopfield neural network approach for power optimization of real-time operating systems The RTOS (Real...
In the process of computation, neural network can be divided into two modes: one is serial mode, and the other is parallel mode. Serial operation mode refers to that when the neural network performs computation operation, only one neural unit’s state is changed in each step; otherwise, it...
and the Machine" (MIT Press 1961). Self-organization as a word and concept was used by those associated withgeneral systems theoryin the1960s, but did not become commonplace in the scientific literature until its adoption byphysicistsand researchers in the field ofcomplex systemsin the1970sand...
who approximated the fluid flow evolution and concentration profiles downstream of a normal shock with a DeepONet-based surrogate. Although Mao et al.’s work is significant for the scientific community, it relies on a simple physical model that cannot correctly represent the non-equilibrium distribu...