Sentence examples for intelligence methodologies from inspiring English sources

Two hybrid intelligent control systems, combining computational intelligence methodologies with other control techniques, are investigated.

This paper aims at integrating the artificial intelligence methodologies in a quality control of ceramic coating fabrication using the atmospheric plasma spray (APS) process.

The results show that both these artificial intelligence methodologies perform satisfactorily and may be considered as alternatives to the harmonic analysis.

Current biotechnology research is seeking to address these problems by creating techniques to capture data rapidly, accurately, and efficiently, and to interpret such data by an assortment of modeling, statistical, wave interpretation, and artificial intelligence methodologies.

While artificial intelligence methodologies are being applied towards increasingly realistic domains that require timely responses, real-time systems are coming to incorporate decision-making tools that require more intelligent capabilities.

In this article we have tried to show how this search for the best vaccine administration in terms of dosage and timings can be formulated as an optimization problem and then, how it can be solved using well-known well known artificial intelligence methodologies over supercomputing infrastructures.

Firstly, an artificial intelligence methodology is presented for partitioning the Hydro-Québec network into smaller and separated areas.

The timeline of the paper is as follows: Sect. 2 shows the formulations for optimal power flow, congestion management problem and artificial intelligence methodology.

Therefore the main aim in this study was to apply computational intelligence methodology, artificial neural network approach, for economic development estimation based on different science and technology factors.

The APA-VMP makes use of swarm intelligence methodology to detect and track the changing optimal target servers for VM placement very efficiently.

Since economic analyzing could be very challenging task because of high nonlinearity, in this study was applied computational intelligence methodology, artificial neural network approach, to estimate the economic development based on different science and technology factors.