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Estimating the genetic parameters of resilience toward known and unknown disturbances in sheep using wool fibre diameter and body weight variability. [PDF]
Genet Sel EvolSmith EG +3 more
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Genetic parameters for egg quality traits in Pekin ducks. [PDF]
Poult SciKroger CA +4 more
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Genetic parameters of neuroblastomas
Cancer Letters, 2002Neuroblastoma is a malignant childhood tumor of migrating neuroectodermal cells derived from the neural crest and destined for the adrenal medulla and the sympathetic nervous system. The biological behavior of neuroblastomas is extremely variable and in some respects unique.
Frank, Westermann, Manfred, Schwab
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NEOCOGNITRON'S PARAMETER TUNING BY GENETIC ALGORITHMS
International Journal of Neural Systems, 1999The further study on the sensitivity analysis of Neocognitron is discussed in this paper. Fukushima's Neocognitron is capable of recognizing distorted patterns as well as tolerating positional shift. Supervised learning of the Neocognitron is fulfilled by training patterns layer by layer.
Shi, D., Dong, C., Yeung, D.S.
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Genetic parameters for fleece uniformity in alpacas
Journal of Animal Science, 2023Abstract Fiber diameter is the main selection objective and criterion in alpaca breeding programs, but it can vary across anatomic regions of the animal. As fiber diameter is usually registered from a unique sample from the mid side of the body, fiber diameter variability within fleece is never addressed and phenotypic and genetic ...
Juan Pablo, Gutiérrez +5 more
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Band-structure parameters by genetic algorithm
Physical Review B, 1996A genetic algorithm has been used to solve a complex multidimensional parameter-fitting problem. We will focus on the parameters of an empirical tight-binding Hamiltonian. The method is used to approximate the electronic energy band structure if energy values are known for a few wave vectors of high symmetry. Compared to the usual manual procedure this
, Starrost +3 more
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Genetic Algorithm Parameter Analysis
Progress of Theoretical Physics Supplement, 2000When a Genetic Algorithm (GA) is applied to solve any optimization problem, the questions arise; how to implement it; what structure to use; how much weight to give to the three main processes (mutation, recombination and reproduction). 1) The present work is a part of a systematic study of the last question, in particular, what population size and ...
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Inequality constrained estimation of genetic parameters
Theoretical and Applied Genetics, 1983A method is presented for computing estimates of genetic parameters under linear inequality constraints such that solutions are within theoretical limits. The method produces biased estimators, yet a small scale numerical study, also presented, shows that the inequality constrained estimators have a small mean squared error of prediction than the best ...
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Genetic adaptation of segmentation parameters
2008This work presents a method for the automatic adaptation of segmentation parameters based on Genetic Algorithms. An intuitive and computationally simple fitness function, which expresses the similarity between the segmentation result and a reference provided by the user, is proposed.
G.A.O.P. Costa +3 more
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Genetic parameters represent fundamental measures that describe the genetic architecture of traits within populations. These parameters encompass a range of characteristics, including heritability, genetic correlation, and repeatability, crucial for understanding evolutionary processes, selective breeding, and genetic diversity conservation ...
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