The oculomotor system uses integrators to transform velocity signals to control eye position. We model such an integrator as a linear network with a marginal mode separated from stable modes by a large spectral gap. The model neurons carry a superposition of position and velocity signals, just as observed in single unit recordings from hindbrain oculomotor areas. The single unit properties of t...

in this study, a multi-objective genetic algorithm (moga) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear multi-input multi-output (mimo) systems. in the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. furthermore, se- curing low-level and high-level ...

Synopsis In this thesis we study a range of questions related to the order structure of models of first-order Peano Arithmetic. In Chapter 1 we give necessary definitions and describe the current state of the subject in the literature survey. In Chapter 2 we study first properties of order-types of models of PA, give examples and place first restrictions on what the order-type of a model of PA ...

Time-series data is abundant, and must be analysed to extract usable knowledge.Local-shape-based methods offer improved performance for many problems, and acomprehensible method of understanding both data and models.For time-series classification, we transform the data into a local-shape space usinga shapelet transform. A shapelet is a time-series subsequence that is discriminat...

Ill [6] Albert Visser shows that ILP completely axiomatizes all schemata about provabihty and relative interpretability that are prov-able in finitely axiomatized theories. In this paper we introduce a system called ILP ~ that completely axiomatizes the arithmetically valid principles of provability in and interpretabihty over such theories. To prove the arith-metical completeness of ILP ~ we u...

Computing with words (CWW) relies on linguistic representation of knowledge that is processed by operating at the semantical level defined through fuzzy sets. Linguistic representation of knowledge is a major issue when fuzzy rule based models are acquired from data by some form of empirical learning. Indeed, these models are often requested to exhibit interpretability, which is normally evalua...

In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, se- curing low-level and high-level ...