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Mostrando ítems 41-50 de 2095
Sensitivity analysis by neural networks applied to power systems transient stability
(Elsevier B.V., 2007-05-01)
This work presents a procedure for transient stability analysis and preventive control of electric power systems, which is formulated by a multilayer feedforward neural network. The neural network training is realized by ...
How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?
(Smart Science & Technology, 2014-02)
Network-pharmacology is a field of pharmacology emerging from the observation that most clinical drugs have multiple targets, contrasting with the previously dominant magic bullet paradigm which proposed the search of ...
Design challenges in contact plans for disruption-tolerant satellite networks
(Institute of Electrical and Electronics Engineers, 2015-05)
During the past 20 years, space communications technologies have shown limited progress in comparison to Internet-based networks on Earth. However, a brand new working group of the IETF with focus on DTN promises to extend ...
A tutorial review on entropy-based handcrafted feature extraction for information fusion
(2018-05-01)
Entropy (H) is the main subject of this article, concisely written to serve as a tutorial introducing two feature extraction (FE) methods for usage in digital signal processing (DSP) and pattern recognition (PR). The theory, ...
Time series characterization via horizontal visibility graph and Information Theory
(Elsevier Science, 2016-12)
Complex networks theory have gained wider applicability since methods for transformation of time series to networks were proposed and successfully tested. In the last few years, horizontal visibility graph has become a ...
Utilidad de una Red de Información DocumentalUtility Information Network Documentary
(Escuela de Bibliotecología, Documentación e Información, 2011)
Knowledge Management and Innovation: The Role of Virtual Social Networks in Innovative Consumer Behavior
(Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2014)
Reinforcing learning in Deep Belief Networks through nature-inspired optimization
(2021-09-01)
Deep learning techniques usually face drawbacks related to the vanishing gradient problem, i.e., the gradient becomes gradually weaker when propagating from one layer to another until it finally vanishes away and no longer ...
Inference, inquiry, evidence censorship, and explanation in connectionist expert systems
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 1997)
Trust in cohesive communities
(Elsevier, 2017)
This paper studies which social networks maximize trust and welfare when agreements are implicitly enforced. We study a repeated trust game in which trading opportunities arise exogenously and a social network determines ...