Sentence examples for evolutionary and learning from inspiring English sources

In this work, we propose the usage of population games, evolutionary and learning dynamics in the study of node coevolution for selfish protocol selection, and, most importantly, its impact on system performance.

Such an undertaking will help us to understand the role played by the larval and pupal stages through evolutionary time, and learn more about the most ecologically dominant animal lineage on land.

This system orchestrates a multiplicity of evolutionary and classical learning techniques to synthesize feature detectors, select sets of cooperative features, and assemble classifiers.

He is known not only for his work on CAS, Holland (1962, 1992)—which he would fondly write as "cas"—but also for his seminal work on adaptation in natural and artificial systems leading to the creation of genetic algorithms and eventually the fields of evolutionary computation, Holland (1995) and Learning Classifier Systems, Holland and Holyoak (1989).

Indeed, teaching and learning about evolutionary medicine could help catalyze the kinds of changes in K-12 and undergraduate science education that the reports mentioned above have called for over the last decade.

Taken collectively, the aforementioned studies about student thinking and alternative concepts of evolution and natural selection contribute to the development of a model of how students think about and learn evolutionary concepts.

Forecast engine is a multilayer perception layer (MLP) NN with hybrid Levenberg Marquardt (LM) and Differential Evolutionary (DE) learning algorithm.

On the basis of this connection between local topologies and functional similarities, we developed an expectation-maximization algorithm and learned the evolutionary fates of WGD pairs and correlated them with epistatic effects.

Common Descent Teachersrs learned to classify organisms into species and learned to interpret evolutionary trees by looking for common traits.

This paper presents a new evolutionary cooperative learning scheme, able to solve function approximation and classification problems with improved accuracy and generalization capabilities.

Note that there could be different synthetic reactants in a composed model during the evolutionary model learning process, because of the use of genetic addition and subtraction operators.