Titlebook: Applications and Science in Soft Computing; Ahamad Lotfi,Jonathan M. Garibaldi Conference proceedings 2004 Springer-Verlag Berlin Heidelbe

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書目名稱Applications and Science in Soft Computing被引頻次學(xué)科排名




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書目名稱Applications and Science in Soft Computing讀者反饋學(xué)科排名

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Neural Network Analysis of Estimation of Datacally results in excesses of ‘convenient’ numbers in the data sets, such as multiples of 5 or 10 in decimal number systems, apparent as patterns of periodic unit-width spikes in the frequency distributions..We report on the development of novel Radial Basis Function neural-network techniques for det

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A Compiler and Simulator for Partial Recursive Functions over Neural Networksmplicity of the underlying principles that allow them to mimic their biological counterparts. All this attracts people from many different fields such as Neurophysiology and Computer Science. We introduce our subject from a Computer Science perspective: the ARNN is seen as a computing mechanism able

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Multistage Neural Networks: Adaptive Combination of Ensemble Resultsembles) can be superior to single neural network models, in terms of the generalization performance they can achieve on the same data sets. In this paper, we propose a novel trainable neural network ensemble combination schema: multistage neural network ensembles. Two stages of neural network models

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On the Fuzzy Spatio-temporal Specification of Multimedia Synchronisation Scenariosjects. This work follows a synchronisation methodology based upon concepts of fuzzy sets and software components. As result, the designer is endowed with a more expressive and flexible modelling tool for creating multimedia scenarios, which is done by means of hierarchical fuzzy descriptive plans. A

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An Approach to On-line Design of Fuzzy Controllers with Evolving Structuredvantages are their computational efficiency, transparency and flexibility [13, 14]. This is due to their dual, quasi-linear nature: they are non-linear and therefore suitable for complex systems, but they could also be treated as linear in respect to the consequent parameters. This fact makes possi

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Can a Parallel Agent Approach to Genetic Algorithms Reduce Search Timese to the size and form of search space. This paper describes empirical research using a parallel agent architecture for genetic algorithms to reduce search times. With 8 slaves searching for the same solution the search time for the most difficult search was reduced by a considerable 61%. The main f