Titlebook: Soft Computing Based Modeling in Intelligent Systems; Valentina Emilia Balas,János Fodor,Annamária R. Vá Book 2009 Springer-Verlag Berlin

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Model Based Anytime Soft Computing Approaches in Engineering Applications,ate a priori knowledge into the procedure. Due to their flexibility, robustness, and easy interpretability, the application of soft computing, in particular fuzzy and neural network based models, may have an exceptional role at many fields, especially in cases where the problem to be solved is highl

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Multi-channel Representations of Max-Plus Algebra Based Wavelet Transform and Their Application to morphological wavelets has been proposed [7] and it can be represented based on max-plus algebra [3, 4] which employ the maximum and standard sum operations instead of standard multiplication and sum operations, respectively. We call it a max-plus algebra based wavelet transform.

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The Fuzzy-Interpolative Methodology,esponding interpolative one, the linear interpolations can be fully applied in almost any fuzzy sets appli cation: in the elaboration of the control rules as well as in the implementa tions. On the other hand the interpolative implementa tions are very feasible in almost any possible technology. Tha

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Model Based Anytime Soft Computing Approaches in Engineering Applications,ally changing, possibly insufficient amount of resources and reaction time..In this chapter the applicability of (Higher Order) Singular Value Decomposition based anytime Soft Computational models is analyzed in dynamically changing, complex, time-critical systems.

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Book 2009icated solutions adapted to each specific pr- lem. Hundreds of concrete applications are already available in many domains. Model based approaches offer a very challenging way to integrate a priori knowledge into procedures. Due to their flexibility, robustness, and easy interpretability, the soft c