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Pre Vertical Jump Performance to Regulate the Training Volume
(GEORG THIEME VERLAG KGSTUTTGART, 2012)
The purpose of this study was to assess the effect of training load regulation, using the CMJ at the beginning of the session, on the total plyometric training load and the vertical jump performance. 44 males were divided ...
Use of virtual load curves for the training of neural networks for residential electricity consumption forecasting applications
(Ieee, 2018-01-01)
Smart grids are becoming increasingly closer to consumers, especially residential consumers, bringing with them a wide range of possibilities. The level of information obtained on a smart grid will be much higher when ...
Use of virtual load curves for the training of neural networks for residential electricity consumption forecasting applications
(2019-01-25)
Smart grids are becoming increasingly closer to consumers, especially residential consumers, bringing with them a wide range of possibilities. The level of information obtained on a smart grid will be much higher when ...
Two-point method: a quick and fatigue-free procedure for assessment of muscle mechanical capacities and the 1 repetition maximum
(National Strength and Conditioning Association, 2020)
Preprocessing data for short-term load forecasting with a general regression neural network and a moving average filter
(2011-10-05)
This paper proposes a filter based on a general regression neural network and a moving average filter, for preprocessing half-hourly load data for short-term multinodal load forecasting, discussed in another paper. Tests ...
Preprocessing data for short-term load forecasting with a general regression neural network and a moving average filter
(2011-10-05)
This paper proposes a filter based on a general regression neural network and a moving average filter, for preprocessing half-hourly load data for short-term multinodal load forecasting, discussed in another paper. Tests ...
Perceived training load, muscle soreness, stress, fatigue, and sleep quality in professional basketball: a full season study
(Universidade Federal de Minas GeraisBrasilEEF - DEPARTAMENTO DE ESPORTESUFMG, 2019-06)
A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...