Πλοήγηση ανά Θέμα "Structural optimization"
Αποτελέσματα 1-13 από 13
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Application of Fuzzy Cognitive Maps to water demand prediction
(2015)This article is focused on the issue of learning of Fuzzy Cognitive Maps designed to model and predict time series. The multi-step supervised-learning based-on-gradient methods as well as population-based learning, with ... -
Deep learning in water resources management: The case study of Kastoria lake in Greece
(2021)The effects of climate change on water resources management have drawn worldwide attention. Water quality predictions that are both reliable and precise are critical for an effective water resources management. Although ... -
Exploring an ensemble of methods that combines fuzzy cognitive maps and neural networks in solving the time series prediction problem of gas consumption in Greece
(2019)This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim ... -
Finite element model validation and predictions using dynamic reduction techniques
(2011)Finite element (FE) model updating and validation techniques are formulated as single and multi-objective optimization problems. A multi-objective optimization framework results in multiple Pareto optimal models that are ... -
Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks
(2016)In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural networks (ANNs). ... -
Implementing fuzzy cognitive maps with neural networks for natural gas prediction
(2018)The goal of this research study is to test the hardiness of a novel hybrid computational intelligence model in day-ahead natural gas demand prediction. The proposed model combines an evolutionary learned FCM method with a ... -
The migration of the UTHBAL hydrologic model into OpenMI
(2008)This paper deals with the implementation and the migration into OpenMI of a monthly conceptual hydrological model, called UTHBAL. The model has been developed by Loukas et al. [2003, 2007] and now is implemented under the ... -
Optimal energy storage control policies for the smart power grid
(2011)Electric energy storage devices are prime candidates for demand load management in the smart power grid. In this work, we address the optimal energy storage control problem from the side of the utility operator. The operator ... -
Optimal server assignment in a two-stage tandem queueing system
(2020)We study Markovian queueing systems consisting of two stations in tandem. There is a dedicated server in each station and an additional server that can be assigned to any station. Assuming that linear holding costs are ... -
Robust and Reliability-Based Structural Topology Optimization Using a Continuous Adjoint Method
(2016)A unified framework for robust and reliability-based structural topology optimization, considering structural model and loading uncertainties, is presented using a continuous adjoint formulation. The topology optimization ... -
Robust optimal sensor configuration using the value of information
(2022)Sensing is the cornerstone of any functional structural health monitoring technology, with sensor number and placement being a key aspect for reliable monitoring. We introduce for the first time a robust methodology for ... -
Structural optimization of a wing body with uncertain aerodynamic loads
(2015)An algorithm for the structural optimization of wing body structures is presented in this paper. The structural analysis for the computation of displacements and stresses within the wing body is based on a finite volume ... -
Topology optimization in wireless sensor networks for precision agriculture applications
(2007)In this paper a new way to build a wireless sensor network is proposed, which is based on measuring the field's electrical conductivity, staying away from the classic network grid implementation. Furthermore it is explained ...