Titlebook: AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application; Ivan Zelinka,Pavel Brandstetter,Sang B

高谈阔论

Springer Nature Switzerland AG 2020

commensurate

The Minerals, Metals & Materials SeriesNeuromorphic artificial intelligence is distinguished from other AI by its particular hardware structure and parallel algorithms of learning and recognition. Thus, neurons of NM500 can learn and recognize patterns extracted from any data sources with less energy and complexity than modern microproce

抵制

Weizhi Zeng,Michael L. Free,Shijie Wang. The loss functions quantify error between predicted and correct classifications of samples in cases of non-perfectly linearly separable classifications. In numerical experiments, we study properties of Hessians related to performance score of models and analyze convergence rate on 4 public availab

Fulminate

WAIL

巫婆

https://doi.org/10.1007/978-3-642-13745-7day one of the standards of medical procedures that determine the physiological state of a person. The task of the work was to implement the measuring system, to test the functionality of the whole system, the measurement tests were carried out and the measured data were subsequently processed stati

百灵鸟

https://doi.org/10.1007/978-3-642-13745-7n goal is to introduce the algorithm of valid application of the substitution rules in all the three kinds of context that we distinguish in the TIL-Script language. The language is a computational variant of TIL, which is a hyperintensional, partial typed .-calculus. Hyperintensional, because the m

Decline

Fabien Gatti,Benjamin Lasorne,André Nautsnted into a Takagi-Sugeno (T-S) discrete fuzzy model. Based on the Lyapunov functions theory, some required sufficient conditions are established in terms of linear-matrix inequalities (LMIs). The provided conditions are obtained through a fuzzy Lyapunov function candidate and a non-PDC control law,

peak-flow

烧瓶

Introduction to Numerical Methodsg, and economic scheduling. In this paper, we propose an improved solution of load flow analysis in the power systems incorporating STATCOM using the Newton-Raphson method. A software based on MATLAB Compiler Runtime (MCR) based on the proposed method is developed to analyze the power system load fl