Titlebook: Machine Learning for Model Order Reduction; Khaled Salah Mohamed Book 2018 Springer International Publishing AG 2018 Model Order Reduction

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model order reduction.Presents machine learning algorithms This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via mathematical models that predict behavior.  The author describes techniques to red

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Control-Inspired Machine Learning Algorithm: Fuzzy Logic Optimization,logic is a kind of multi-valued logic, which is a model-less approach and is a clever disguise of the Probability Theory. The most famous types of the membership functions are the triangle, trapezoidal, and Gaussian membership function.

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Introduction,lop any system. Many physical phenomena can be described mathematically by the same class of system. Any system can be represented by a set of continuous Partial Differential Equations (PDEs) or discrete Ordinary Differential Equations (ODEs). At the same time, any set of PDEs should be transformed

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Conclusions,e of the major research areas in CAD is circuit simulation. Circuit simulation is to use mathematical models to predict the behavior of an electronic circuit. A circuit is usually represented by a set of partial differential equations (PDEs) or ordinary differential equations (ODEs). So, the circuit

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