In this paper, we propose a novel process to optical character recognition (OCR) used in
real environments, such as gas-meters and electricity-meters, where the quantity of noise is …

This paper attempts to incorporate the structure of the cerebellar-model-articulation-
controller (CMAC) network into the Kohonen layer of the self-organizing map (SOM) to …

This paper proposes a system for handwritten Bangla numeral recognition based on
expanded two-layer self-organising map (SOM), in which every map in the second layer …

In this paper, the learning process of ART 2 (adaptive resonant theory) network is applied to
construct the structure of cerebellar model articulation controller (CMAC) to form an ART …

We propose a hybrid system for Bangla handwritten numeral recognition based on partially
labeled two-layer SOM and MLP classifiers. Partially labeled mechanism is introduced to the …

A hybrid GrayART network consisting of an unsupervised clustering stage and a supervised
adjusting stage is proposed in this paper. In this hybrid learning scheme, the unsupervised …

This thesis describes the development of unsupervised neural-based pattern classifiers for
the training of vowel pronunciations for students learning a foreign language. This paper …

HABILITATION THESIS Page 1 FACULTY OF ENGINEERING TECHNICAL UNIVERSITY OF
CLUJ-NAPOCA assoc. prof. Matei Oliviu-Dorin, PhD HABILITATION THESIS ACHIEVEMENTS …

This thesis describes the development of unsupervised neural-based pattern classifiers for
the training of vowel pronunciations for students learning a foreign language. This paper …

The paper presents a local learning framework for pattern classification by partitioning a
pattern space into different overlapped subsets and combining decisions in a local space. In …