Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories

“ Polytope Projections ” ( Discrete Geometry

BL-general fuzzy automata and minimal realization: Based on the associated categories

The present paper is an attempt to study the minimal BL-general fuzzy automata which realizes the given fuzzy behavior. Of two methods applied for construction of such automaton presented here, one has been based on Myhill-Nerode's theory while the other has been based on derivatives of the given fuzzy behavior. Meanwhile, the categories of BL-general fuzzy automata and fuzzy behavior, along wi...

Classification and Geometry of General Perceptual Manifolds

SueYeon Chung, Daniel D. Lee, and Haim Sompolinsky Program in Applied Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA Center for Brain Science, Harvard University, Cambridge, MA 02138, USA School of Engineering and Applied Science, University of Pennysylvania, Philadelphia, PA 19104, USA Racah Institute of Physics, Hebrew University, Jerusalem 9...

Classification of noisy patterns using ARTMAP-based neural networks

In this paper we present a modification of the test phase of ARTMAP-based neural networks that improves the classification performance of the networks when the patterns that are used for classification are extracted from noisy signals. The signals that are considered in this work are textured images, which are a case of 2D signals. Two neural networks from the ARTMAP family are examined, namely...

Fuzzy Artmap Classification for Motor Imaginary Based Brain Computer Interface

The rapid advancement of Brain Machine Interface (BMI) or Brain Computer Interface (BCI) research over the recent years is concentrated to the development of new technologies which adopts the easiest procedures since the expected beneficiaries are of disabled in nature. Most of the locked-in patients possess strong mental ability in terms of imagining and thinking but they are extremely unable ...