The Well Placement Optimization, Field Development Scheduling, History Matching with
Multiple Models, Global Optimization of Oil Production Systems are procedures related to …

General Regression Neural Networks (GRNN) have been applied to phoneme identification
and isolated word recognition in clean speech. In this paper, the authors extended this …

This article presents the application of global optimizers combined with Artificial Neural
Networks (ANN) to the history matching problem. An evolutionary algorithm is executed on …

Recently, the speech recognition is very attractive for researchers because of the very
significant related applications. For this reason, the novel research has been of very …

The crucial problem of Arabic recognition systems is the availability of several dialects in
Arabic language, particularly those with sound variations. Therefore, low recognition rate is …

Résumé Dans ce contexte, notre contribution porte sur le développement d'un Système de
Reconnaissance Automatique de la Parole (SRAP) servant à l'identification de mots isolés …

A fundamental problem in the automated history matching is the development of
optimization algorithms to find optimal solution in multidimensional search spaces. These …

In this paper, an efficient speech recognition system based on the general regression neural
network (GRNN) has been presented. The GRNN has been previously applied for phoneme …

ABSTRACT A novel vowel feature extraction method via hybrid wavelet and linear prediction
coding (LPC) is presented here. The proposed Arabic vowels recognition system is …

One of the major drawbacks to using speech as the input to any pervasive environment is
the requirement to balance accuracy with the high processing overheads involved. This …