A new algorithm based on learning vector quantisation classifier is presented based on a modified proximity-measure, which enforces a predetermined correct classification level in training while using sliding-mode approach ...

We present a new Generalized Learning Vector Quantization classifier called Optimally Generalized Learning Vector Quantization based on a novel weight-update rule for learning labeled samples. The algorithm attains stable ...

A single-step information-theoretic algorithm that is able to identify possible clusters in dataset is presented. The proposed algorithm consists in representation of data scatter in terms of similarity-based data point ...

A sliding-mode speed controller for output tracking of underactuated surface vessels is presented based on a new manifold definition. The new sliding-mode control algorithm relies on a conventional sliding manifold and its ...

A single-step algorithm is presented to find the number of clusters in a dataset. An almost two-valued function called cluster-boundary indicator is introduced with the use of similarity-based information-theoretic sample ...

A new current-mode fuzzy-membership function circuit is proposed. The circuit has a very compact and simple architecture based on the simultaneous use of winner- and loser-take-all topologies. The circuit has also the ...

A new sliding-mode control method is presented in which the nominal control is derived from a manifold consisting of the standard sliding manifold expression and its derivative. It is shown that the new method yields a ...