Results 81 to 90 of about 3,363,564 (300)
A delay-dependent LMI approach to dynamics analysis of discrete-time recurrent neural networks with time-varying delays [PDF]
, 2007 This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Elsevier Ltd.In this Letter, the analysis problem for the existence and stability of periodic solutions is investigated for
Zidong Wang +3 more
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Configurable Model for Sigmoid and Hyperbolic Tangent Functions
Applications of Modelling and Simulation, 2023 Recurrent neural networks (RNNs) are considered to be among the most important types of neural networks especially for the applications where processing of a sequence of data comes to place. RNNs are in general computationally expensive and need a lot of
Khaled Salah +3 more
doaj
Modeling Belt-Servomechanism by Chebyshev Functional Recurrent Neuro-Fuzzy Network
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2008 A novel Chebyshev functional recurrent neuro-fuzzy (CFRNF) network is developed from a combination of the Takagi-Sugeno-Kang (TSK) fuzzy model and the Chebyshev recurrent neural network (CRNN).
Yuan-Ruey HUANG +3 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Predicative functional recurrence and poly-space [PDF]
, 1997 We formulate a notion of predicative function types, and define predicative recurrence over functions, both in equational style and as an applicative formalism, pointing out the equivalence between the two approaches. We then show that a function is poly-space iff it is defined using predicative functionals obtained by ramified recurrence over words.
Daniel Leivant, Jean-Yves Marion
openaire +2 more sources
FEBS Letters, EarlyView.CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series [PDF]
This paper establishes several results for uniform convergence of nonparametric kernel density and regression estimates for the case where the time series regressors concerned are nonstationary null–recurrent Markov chains.
Dag Tjostheim, Jiti Gao, Degui Li
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Distinctive Lexical Patterns in Russian Patient Information Leaflets: A Corpus-Driven Study
Russian journal of linguistics: Vestnik RUDN, 2019 This methodologically-oriented corpus-driven study focuses on distinctive patterns of language use in a specialized text type, namely Russian patient information leaflets.
Łukasz Grabowski
doaj +1 more source
Homeostatic plasticity improves signal propagation in continuous time recurrent neural networks
, 2005 Continuous-time recurrent neural networks (CTRNNs) are potentially an excellent substrate for the generation of adaptive behaviour in artificial autonomous agents. However, node saturation effects in these networks can leave them insensitive to input and
Williams, Hywel, Noble, Jason
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