Two methods to correct phonemic transcriptions produced by the acoustic processor of a speech recognition system are described and compared. The first method that was invented by Prof. Teuvo Kohonen and named the Dynamically Expanding Context (DEC), involves a large set of error-correcting rules automatically constructed from examples. This symbolic approach is compared with a connectionist one...

La propuesta de un modelo espacio-temporal y red neuronal artificial Kohonen mapas autoorganizados para la investigación documental descriptiva, pronostica el volumen monetario ARIMA del Producto Interno Bruto, Exportaciones e Importaciones período 2020-2022 en millones soles 94,540; 21,184 24,827. Evidenciando error porcentual absoluto MAPE 4,22%; 7,45% 5,54% diciembre 2022, ajuste significati...

1. INTRODUCTION Self-organizing neural networks represent a family of useful clustering-based classification methods in several application domains. One such technique is the Kohonen Self-Organizing Feature Map (SOM) (Kohonen,

A neural network design – the adaptive resonance theory least mean square (ART-LMS) neural network – is proposed for the restoration of images corrupted by impulse noise. The network design is based on the concept of a counterpropagation network (CPN). The ART network automatically uses a vigilance parameter to generate the cluster layer node for the Kohonen learning algorithm in CPN. In additi...

Indian Sign Language (ISL) or Indo-Pakistani Sign Language is possibly the prevalent sign language variety in South Asia used by at least several hundred deaf signers. It is different in the phonetics, grammar and syntax from other country’s sign languages. Since ISL got standardized only recently, there is very little research work that has happened in ISL recognition. Considering the challeng...

. Different authors have developed modifications of the Kohonen Self-Organizing Maps to solve known combinatorial optimization problems. In this paper a modification of the Kohonen Map is proposed to solve the detection of white inter-text spaces in a digitized plain text documents. The idea relies on the fact that line extraction problem has several features which match easily with Kohonen net...

Abstract When clearing protective strips for linear infrastructure such as power lines, it is important to minimize tree felling. The purpose of the study develop and test a software package digital forest inventory shrub vegetation in zones facilities. In study, based on aerial photography with UAVs was developed tested, methods multilayer perceptron self-organizing network competition (Kohone...

Kohonen self-organisation maps are a well know classification tool, commonly used in a wide variety of problems, but with limited applications in time series forecasting context. In this paper, we propose a forecasting method specifically designed for long-term trends prediction, with a double application of the Kohonen algorithm. We also consider practical issues for the use of the method.

Intrusion detection technology is an effective approach to dealing with the problems of network security. In this paper, it presents an intrusion detection model based on hybrid neural network and SVM. The key idea is to aim at taking advantage of classification abilities of neural network for unknown attacks and the expertbased system for the known attacks. We employ data from the third intern...