Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...
A theory of self-organization in the central nervous system is described, proposing that additive and dissipative synaptodendritic summation leads to synchronous oscillation as the equilibrium state, ...
Abstract: In this paper, a new consensus-based distributed secondary control (DSC) strategy is proposed for frequency control, dc -voltage regulation, and optimal dispatch (OD) in isolated hybrid ...
Abstract: Preprocessor-based software product lines (SPLs) are used to deal with evolution in space, in which features (so-called configuration options)—annotated in source code with #ifdefs—are ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Vietnam scored the second goal! Anh Tu accelerated down the left flank and passed inside for Thanh Nhan, who held the ball well to pass for an open Dinh Xuan Tien and this midfielder calmly finish to ...
To combine a feedforward neural network (FNN) and Lie group (symmetry) theory of differential equations (DEs), an alternative artificial NN approach is proposed to solve the initial value problems ...
Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...
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