Results 81 to 90 of about 10,487,885 (363)
APPROXIMATION OF THE CUT FUNCTION BY STANNARD AND RICHARD SIGMOID FUNCTIONS [PDF]
International Journal of Pure and Apllied Mathematics, 2016 Several sigmoidal functions (Stannard [10], [16], [19], [23], Richards [13], [17], [20], [22], Chapman–Richards [5]) find numerous applications in various fields related to life sciences, chemistry, physics, artificial intelligence, population dynamics, plant biology, fuzzy set theory, etc.
Svetoslav Markov +2 more
openaire +1 more source
Neural Network Adaptive Control With Long Short‐Term Memory
International Journal of Adaptive Control and Signal Processing, EarlyView.ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc +4 more
wiley +1 more source
RhoA and Rac1 as Mechanotransduction Mediators in Colorectal Cancer
Advanced Biology, EarlyView.Analysing RhoA and Rac1 protein levels in Colorectal cancer (CRC) samples under mechanical strain highlights their potential as diagnostic markers. Monitoring their activity could offer valuable insights into how cancer spreads, paving the way for new approaches to better understand and diagnose colorectal cancer.
Sharda Yadav +5 more
wiley +1 more source
Population dynamics: Variance and the sigmoid activation function
NeuroImage, 2008 This paper demonstrates how the sigmoid activation function of neural-mass models can be understood in terms of the variance or dispersion of neuronal states. We use this relationship to estimate the probability density on hidden neuronal states, using non-invasive electrophysiological (EEG) measures and dynamic casual modelling.
Jean Daunizeau +3 more
openaire +2 more sources
Coefficient estimates for starlike and convex functions related to sigmoid functions
Ukrains’kyi Matematychnyi Zhurnal, 2023 UDC 517.5 We give sharp coefficient bounds for starlike and convex functions related to modified sigmoid functions. We also provide some sharp coefficients bounds for the inverse functions and sharp bounds for the initial logarithmic coefficients and some coefficient differences.
M. Raza, D. K. Thomas, A. Riaz
openaire +1 more source
Discontinuities in recurrent neural networks [PDF]
, 1997 This paper studies the computational power of various discontinuous real computational models that are based on the classical analog recurrent neural network (ARNN).
Gavaldà Mestre, Ricard +1 more
core +1 more source
Advanced Engineering Materials, EarlyView.Fe–12Mn–0.2C medium‐manganese steel is processed by laser‐based powder bed fusion of metals using blended as well as pre‐alloyed powder. Various scanning speeds are used to determine the influence of energy deposition rate on microstructure and mechanical properties.
Leoni Hübner +4 more
wiley +1 more source
IEEE AccessProbability estimation plays a pivotal role across diverse domains, particularly in scenarios where the objective is to select non-repetitive units one at a time, with the option of replacement, from a predefined set of units.
Samarth Godara +5 more
doaj +1 more source
Journal of Low Frequency Noise, Vibration and Active Control, 2020 This paper proposes an improved neuroendocrine–proportional–integral–derivative controller for nonlinear multi-input–multi-output crane systems using a sigmoid-based secretion rate of the hormone regulation.
Mohd Riduwan Ghazali +3 more
doaj +1 more source