Sentence examples for artificial recognition system from inspiring English sources

This artificial recognition system correctly distinguishes photographs containing animals from those without creatures 82% of the time; Dr Serre's students get it right 80% of the time.

In this context, the Artificial Recognition System (ARS) project shall be mentioned, which covers many of these aspects and is a major topic in [2].

Although this is still more than a factor of 2 which is better than the MIP system, it still shows that fully artificial recognition systems already approach natural ones in terms of selectivity in some cases.

> -wrap-foot> a50 mg cartridge in 1-mL glass column Throughout this research, the MIPs as artificial recognition systems for 17β-estradiol, estrone and estriol were synthesized by bulk polymerization with a non-covalent imprinting approach.

Since most of them do not have a stable model, software fault prediction has been studied in this paper based on different machine learning techniques such as decision trees, decision tables, random forest, neural network, Naïve Bayes and distinctive classifiers of artificial immune systems (AISs) such as artificial immune recognition system, CLONALG and Immunos.

Artificial intelligence recognition system is one of the first AIS techniques designed specifically and applied to classification problems.

This paper proposes a novel method for off-line signature verification that is based on the Artificial Immune Recognition System (AIRS).

Many different techniques were used for software fault prediction such as genetic programming [10], decision trees [11] neural network [12], Naïve Bayes [13], case-based reasoning [14], fuzzy logic [15] and the artificial immune recognition system algorithms in [16, 17, 18].

The results show that on the one hand Support Vector Machine (SVM) and Artificial Immune Recognition System (AIRS) as a single based computational intelligence approach were the best methods in medical applications.

The same group [44] used the Welch FFT method for feature extraction, PCA for dimensionality reduction, and a new hybrid automated identification system based on artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism for classification of normal and epileptic segments.

The parallel implementation of Artificial Immune Recognition Systems (AIRS2Parallel) algorithm is the best Artificial Immune Systems paradigm-based algorithm when the method-level metrics are used.