The article deals with the description of the conceptual and linguistic nature, the modus character and the field structure of the linguistic category of the approximation. It also deals with the analysis of the role of the inherent and adherent approximators as well as the context in the realization of the invariant meaning of the approximation in the German language. Pragmatic potential of th...

When estimating a generalized additive model, a crucial decision that must be made is the choice of underlying technique that will be used to estimate those transformations that produce the best-fitting model. Data smoothers and universal approximators are two opposing techniques that seem to hold the most promise. ACE (alternating conditional expectations) was developed by Breiman and Friedman...

Speaker identification is the process of determining which registered speaker provides a given utterance. Speaker identification required to make a claim on the identity of speaker from the Ns trained speaker in its user database. In this study, we propose the combination of clustering algorithm and the classification technique – subtractive and Radial Basis Function (RBF). The proposed techniq...

In this paper, a fuzzy neural network (FNN) based discrete adaptive iterative learning controller (AILC) is proposed for a class of discrete-time uncertain nonlinear plants which can repeat a given task over a finite time sequence. Compared with the existing discrete AILC schemes, the proposed strategy can be applied to the discrete-time uncertain nonlinear plants with not only initial resettin...

The demand for smarter and more adaptive robots, mainly due to the increasing availability of sophisticated sensor systems for both manipulation and mobile robots and the recently emerging market for intelligent service systems, has a direct impact on the costs of robot programming. Especially the development of control software for industrial robots is becoming more and more expensive. This pa...

This paper rigorously establishes thut standard rnultiluyer feedforward networks with as f&v us one hidden layer using arbitrary squashing functions ure capable of upproximating uny Bore1 measurable function from one finite dimensional space to another to any desired degree of uccuracy, provided sujficirntly muny hidden units are available. In this sense, multilayer feedforward networks are u c...

The guessing of a function behind a discrete mapping between nite spaces using only the information provided by positive examples is shown to be in principle optimally handled by a lookup table combined with a random process. We explore the implications of this result for the construction of intelligent approximators.

The concept of using ANN-like approximators for estimation of dynamic system parameters is considered. It is shown that the modular, classifier-approximator architecture offers new possibilities of realtime observation point selection for optimal ANN performance in terms of minimum parameter variance.

The identification of a model is one of the key issues in the field of fuzzy system modeling and function approximation theory. An important characteristic that distinguishes fuzzy systems from other techniques in this area is their transparency and interpretability. Especially in the construction of a fuzzy system from a set of given training examples, little attention has been paid to the ana...