Cutting concentration prediction in horizontal and deviated wells using artificial intelligence techniques

Solar Flare M-class Prediction Using Artificial Intelligence Techniques

Currently, astronomical data have increased in terms of volume and complexity. To bring out the information in order to analyze and predict, the artificial intelligence techniques are required. This paper aims to apply artificial intelligence techniques to predict M-class solar flare. Artificial neural network, support vector machine and naïve bayes techniques are compared to define the best pr...

Parameters Estimation in petroleum wells using artificial intelligence

In this work, the Parameters Estimation in petroleum wells is presented; it is based on Intelligent Systems (neural networks and fuzzy logic). For validating the results, the estimation is applied in wells that need artificial lift using well heading data (gas and production pressure). Key-Words: neo-fuzzy models, oil system production, artificial gas lift wells, parameters estimation.

Using Artificial Intelligence Techniques in Computer Graphics

The object of this paper is to prove that the use of artificial intelligence techniques in computer graphics can greatly improve the obtained results. Improvements in three areas of computer graphics are presented in the paper: in scene modelling, where declarative modelling techniques can greatly improve the designer’s work ; in scene understanding, where the use of heuristic search and strate...

Prediction Based Diagnosis Using Artificial Intelligence Methods

Aerobic Bioprocess Control Using Artificial Intelligence Techniques

This paper deals with the design of an intelligent control structure for a bioprocess of Hansenula polymorpha yeast cultivation. The objective of the process control is to produce biomass in a desired physiological state. The work demonstrates that the designed Hybrid Control Techniques (HCT) are able to recognize specific evolution bioprocess trajectories using neural networks trained specific...