Titlebook: Applications of Soft Computing; Updating the State o Erel Avineri,Mario K?ppen,Rajkumar Roy Conference proceedings 2009 Springer-Verlag Ber

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978-3-540-88078-3Springer-Verlag Berlin Heidelberg 2009

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,Liberalisierung der Energiem?rkte,n our method, with a certain number of detectors, the coverage of the non-self space is maximized, while the coverage of the self samples is minimized. Simulations are performed using both synthetic and real-world data sets. Experimental results show that the proposed algorithm has remarkable advant

MUTED

,Liberalisierung der Energiem?rkte,hoquet integrals. In case of multi-layered network structure, CHIAN can employ back-propagation algorithms-like concept for learning process. However, the back-propagation methods have some limitations such as trapping at local minima and network paralysis. Due to genetic algorithms (GA) mechanism,

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Konventionelle Dampfkraftwerke,. Optimization techniques, e.g., from gradient descent, stochastic search or evolutionary computation are available to accelerate and automate this procedure. However, appropriate assessment or cost functions are required. This paper presents effective state-of-the-art techniques and compares them t

破布

Konventionelle Dampfkraftwerke,le. The aim of the paper is to propose a new approach that can be used for the analysis and the reduction of these models. It is shown that NNs with sigmoid transfer function can be transformed into fuzzy systems. Hence, with the use of this transformation NNs can be analyzed by human experts based

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Energetische Verwertung von Biomasse,t systems capable of learning and adapting. AISs are optimization methods that can be applied to the solution of many different types of optimization problems in power systems. In particular, a new meta-heuristic optimization approach using artificial immune networks called opt-aiNET combined with n

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Konventionelle Dampfkraftwerke,A comparative study of heuristic approaches such as ‘Earliest Deadline First (EDF)’ and ‘Shortest Computation Time First (SCTF)’ and genetic algorithm is explored and demonstrated. The results of the simulation study using MATLAB is presented and discussed. Finally, conclusions are drawn from the re

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