Results 11 to 20 of about 438,378 (164)
Integrating Heterogeneous Ontologies in Asian Languages Through Compact Genetic Algorithm with Annealing Re-sample Inheritance Mechanism [PDF]
An ontology is a state-of-the-art knowledge modeling technique in the natural language domain, which has been widely used to overcome the linguistic barriers in Asian and European countries’ intelligent applications. However, due to the different knowledge backgrounds of ontology developers, the entities in the ontologies could be defined in different ...
Xingsi Xue, Wenyu Liu
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Chinese traditional culture is a typical “moral culture,” and traditional morality is the core and essence of culture. However, in recent years, the phenomenon of following the trend of rural construction has been particularly serious, and many villages have lost their original features. To solve the above problems, the genetic algorithm can be used to
Lin Guo
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Application of New Modified Genetic Algorithm in Inverse Calculation of Strong Source Location
With the rapid development of intelligent systems, the application of genetic algorithms to quickly and accurately determine the location of hazardous gas leaks is of great practical significance.
Jiming Yao +5 more
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Advances in high-throughput sequencing technologies have made it possible to access millions of measurements from thousands of people. Single nucleotide polymorphisms (SNPs), the most common type of mutation in the human genome, have been shown to play a
Fariba Esmaeili +2 more
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Background Retinitis Pigmentosa (RP) is a clinically and genetically heterogeneous disorder that results in inherited blindness. Despite the large number of genes identified, only ~ 60% of cases receive a genetic diagnosis using targeted-sequencing.
María González-del Pozo +7 more
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A New Supervised Learning Algorithm Based on Genetic Inheritance for Spiking Neural Networks
Spiking neural networks (SNNs) can perform complex spatio-temporal information computations in precise temporal coding. These networks differ from previous models in that spiking neurons convey information by time rather than rate of spikes.
Jie Yang, Ning Wang, Tingting Pan
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Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation [PDF]
Genetic Algorithms are a search paradigm that applies principles of evolutionary biology (crossover, mutation, natural selection) in order to deal with intractable search spaces. The power and success of GA are mostly achieved by the diversity with the individuals of a population which evolve, in parallel, following the principle of the survival of the
Esther Lugo-Gonzlez +5 more
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Genomic estimates of Identity-By-Descent relationships in large scale data sets [PDF]
Background Genomic relationship and inbreeding estimates are either based on genetic drift (e.g. the Genomic Relationship Matrix; GRM), homozygosity (e.g. Runs of Homozygosity; ROH), or Identity-By-Descent (IBD).
Theo Meuwisen, Xijiang Yu, Peer Berg
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Genetic heterogeneity in familial forms of genetic generalized epilepsy: from mono- to oligogenism
Genetic generalized epilepsy (GGE) including childhood absence epilepsy, juvenile absence epilepsy, juvenile myoclonic epilepsy (JME), and GGE with tonic–clonic seizures (TCS) (GGE-TCS), is genetically influenced with a two- to four- fold increased risk ...
Maha Dahawi +22 more
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Epigenetic opportunities for evolutionary computation
Evolutionary computation is a group of biologically inspired algorithms used to solve complex optimization problems. It can be split into evolutionary algorithms, which take inspiration from genetic inheritance, and swarm intelligence algorithms, that ...
Sizhe Yuen +2 more
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