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Search results for: neural network
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Year: 2016, Volume: 16, Number: 3
... , B. De Andres, S. evolution learning in Asymmetric Subsethood Product Fuzzy Neural Esteban, and D. Rivera, "A method for model parameter identification ... number of individuals between subpopulations over generations. The layout that facilitates the interactions of network of subpopulations, the subpopulations is called the topology. Static migration ï‚· Migration ...
Year: 2023, Volume: 23, Number: 2
... of whale optimization "Multi objective economic/emission optimal energy management method," Neural Computing and Applications, vol. 31, no. 2, pp. ... on a 33-bus distribution Value at Risk) as a risk measurement technique is applied network and modeled the problem using GAMS/CPLEX against the risk arising from low ...
Year: 2021, Volume: 21, Number: 3
... . Zhang, X. Guo, X. Zhang, "Modelling of Back-Propogation Neural [37] L. Zhang, C. Lyu, L. Wang ... , "Optimization of doi:10.1016/j.jpowsour.2019.226974 Charge/Discharge Co-ordination to Satisfy Network Requirements [36] C. Edouard, M.Petit, C. Forgez, ...
224. A Study on Eye-Blink Detection-Based Communication System by Using K-Nearest Neighbors Classifier
Year: 2023, Volume: 23, Number: 1
... , "Home care project for patients with Amyotrophic study," In Advances in Neural Information Processing Systems, 1131- Lateral Sclerosis (ALS): "It's ... ," Universal Access in the Information Society, 10.1: 69-80, Communications& Networking Conference (CCNC) (pp. 1-6). IEEE, 2011. ...
Year: 2018, Volume: 18, Number: 2
... 1-6. doi: 10.1109/ smoothing wind power using empirical mode decomposition and PEDES.2006.344322 neural network," Electric Power Systems Research, 2015, vol. 127, ... as a simple RC arms and filter, IG leakage impedances, and elements that network, with C sc being the rated capacitance and r sc the contribute to ...
Year: 2010, Volume: 10, Issue: 1
... various algorithms in multi agent system so In this connection, the use of artificial neural networks far has share of duties, negotiation, learning and searching such that ... can get information from environment with need to various forms of communication among agents. In the possibility to give agents some algorithm to improve the paper we attempt to ...
Year: 2013, Volume: 13, Number: 2
... modeling, magnetic materials, magnetic hysteresis, compared with measurements [15] and neural network numerical analysis. hysteresis modeling was included in FEM analysis [16] ... The modeling of steel laminations in the FEM analysis of I. INTRODUCTION transformers or electrical machines [17] is very useful in The magnetic hysteresis complexity [1 ...
Year: 2011, Volume: 11, Number: 4
... proper functioning. oscillations around the MPP, while fuzzy control, genetic algorithms or neural network prediction are more precise but Index Terms — photovoltaic systems, dc-dc power ... , also more complex, requiring more processing time and nonlinear dynamical systems, bifurcation, chaos, monodromy matrix, saltation matrix. computational power. The same method ...
Year: 2010, Volume: 10, Issue: 3
... torque demands without employing a sensor. including Kalman filters, fuzzy logic, and neural network The proposed system performs very well for a sensorless observers to obtain the ... position angle [10], [11]. operation and effectively eliminates the harmonics due to the LP filter. Recently, researchers have tried to reduce the ...
Year: 2017, Volume: 17, Number: 1
... the application of method described in supported by fuzzy logic [10] or artificial neural networks [7] for detection of broken rotor bar based on vibration [ ... ]. Finite element method (FEM) can be used to obtain signal analysis, which will be explained in the sequel. valid fault model [12] ...
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