Sentence examples for models and evolutionary from inspiring English sources
In this paper we propose a novel approach called QueBN-design (Querying Bayesian network design) derived by coupling conditional probabilistic inference in Bayesian network models and evolutionary principles.
Optimal design techniques recently gained a wide popularity in the industry as relatively powerful computers have become broadly available and as attractive tools such as surrogate models and evolutionary optimization went through maturation.
Nijhout, HF. "Phenotypic Plasticity and Allometry: New Models and Evolutionary Implications". April 2012.
They are organized in topical sessions on HAIS applications; data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning algorithms; hybrid intelligent systems for data mining and applications and classification and cluster analysis.
This suggests that technical difficulties are not the only reason why soil ecologists parsimoniously use models and evolutionary interpretations.
The technical difficulties could thus partially explain why soil ecology makes a parsimonious use of models and evolutionary rationales and why soil ecology has developed partially independently of general ecology.
This research paper explores the development of Finite Element model and evolutionary fuzzy support vector regression model for the prediction of residual stress in welding.
In this paper, an effective method is proposed to identify the bearing parameters and unbalance information of a rotor-bearing system based on the Kriging surrogate model and evolutionary algorithm (KSMEA).
Inspired by both negative selection model and evolutionary mechanism of the biological immune system, an evolutionary negative selection algorithm for hardware/software partitioning, namely ENSA-HSP, is proposed in this paper.
Here we build upon these works by further investigating the L V model of unlimited niche packing as a reference model and evolutionary game for understanding the environmental factors restricting biodiversity.
This paper proposes a new framework to tackle computer-aided modeling and evolutionary algorithms into conventional design phase of a machine, which, in turn, significantly reduces time and cost of structural optimization.
