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Artykuły w czasopismach na temat "Hybrid fitness"
Moore, William S., i Walter D. Koenig. "Comparative Reproductive Success of Yellow-Shafted, Red-Shafted, and Hybrid Flickers across a Hybrid Zone". Auk 103, nr 1 (1.01.1986): 42–51. http://dx.doi.org/10.1093/auk/103.1.42.
Pełny tekst źródłaNatcheva, Rayna, i Nils Cronberg. "What do we know about hybridization among bryophytes in nature?" Canadian Journal of Botany 82, nr 12 (1.12.2004): 1687–704. http://dx.doi.org/10.1139/b04-139.
Pełny tekst źródłaPower, Jeffrey J., Fernanda Pinheiro, Simone Pompei, Viera Kovacova, Melih Yüksel, Isabel Rathmann, Mona Förster, Michael Lässig i Berenike Maier. "Adaptive evolution of hybrid bacteria by horizontal gene transfer". Proceedings of the National Academy of Sciences 118, nr 10 (1.03.2021): e2007873118. http://dx.doi.org/10.1073/pnas.2007873118.
Pełny tekst źródłaArnold, Michael L., i Noland H. Martin. "Hybrid fitness across time and habitats". Trends in Ecology & Evolution 25, nr 9 (wrzesień 2010): 530–36. http://dx.doi.org/10.1016/j.tree.2010.06.005.
Pełny tekst źródłaWolinska, Justyna, Barbara Keller, Kerstin Bittner, Sandra Lass i Piet Spaak. "Do parasites lower Daphnia hybrid fitness?" Limnology and Oceanography 49, nr 4part2 (31.01.2004): 1401–7. http://dx.doi.org/10.4319/lo.2004.49.4_part_2.1401.
Pełny tekst źródłaWool, David, i Orna Bergerson. "Random environmental variation and inbreeding: effects on pure-strain and hybrid populations of flour beetles (Tribolium)". Canadian Journal of Genetics and Cytology 28, nr 6 (1.12.1986): 889–98. http://dx.doi.org/10.1139/g86-124.
Pełny tekst źródłaGramlich, Susanne, i Elvira Hörandl. "Fitness of natural willow hybrids in a pioneer mosaic hybrid zone". Ecology and Evolution 6, nr 21 (5.10.2016): 7645–55. http://dx.doi.org/10.1002/ece3.2470.
Pełny tekst źródłaLi, Meng Jian, i Wei Dong Geng. "Evaluation Fitness of Footwear Using Hybrid Simulation". Applied Mechanics and Materials 462-463 (listopad 2013): 1055–61. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.1055.
Pełny tekst źródłaDybdahl, Mark F., Jukka Jokela, Lynda F. Delph, Britt Koskella i Curtis M. Lively. "Hybrid Fitness in a Locally Adapted Parasite". American Naturalist 172, nr 6 (grudzień 2008): 772–82. http://dx.doi.org/10.1086/592866.
Pełny tekst źródłaDagilis, Andrius J., Mark Kirkpatrick i Daniel I. Bolnick. "The evolution of hybrid fitness during speciation". PLOS Genetics 15, nr 5 (6.05.2019): e1008125. http://dx.doi.org/10.1371/journal.pgen.1008125.
Pełny tekst źródłaRozprawy doktorskie na temat "Hybrid fitness"
Tour, Samir R. "Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density(PYRAMID)". NSUWorks, 2006. http://nsuworks.nova.edu/gscis_etd/886.
Pełny tekst źródłaHolleley, Clare Ellen Biological Earth & Environmental Sciences Faculty of Science UNSW. "Testing hypotheses in molecular ecology: genetic exchange and hybrid performance". Publisher:University of New South Wales. Biological, Earth & Environmental Sciences, 2009. http://handle.unsw.edu.au/1959.4/43361.
Pełny tekst źródłaParris, Matthew James. "Analysis of fitness determinants in an anuran hybrid zone (Rana blairi and Rana sphenocephala) : the evolutionary potential of natural hybridization /". free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9953888.
Pełny tekst źródłaMosesson, Marcus. "Korean Bodybuilding : Cultural Hybrid or Instance of Cultural Homogenization?" Thesis, Stockholms universitet, Institutionen för Asien-, Mellanöstern- och Turkietstudier, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-157588.
Pełny tekst źródłaDenna studie behandlar ämnet koreansk bodybuilding för män och undersöker dels vad som motiverar koreanska kroppsbyggare att utöva sin sport, dels vad deras estetiska ideal är. Studiens författare använder sig av den begränsade befintliga forskningen inom ämnet och försöker även ge en överblick över koreansk bodybuildings historia. Författaren har dessutom utfört en digital undersökning för att samla in svar från koreanska kroppsbyggare om deras drivkrafter, estetiska ideal, etc. Dessa ideal jämförs sedan med det moderna koreanska samhällets motsvarigheter och diskuteras även utifrån de somatiska föreställningarna inom neokonfucianismen. Studiens forskningsresultat analyseras sedan utifrån två teorier om globaliseringens kulturella konsekvenser, närmare bestämt homogenisering respektive hybridisering. Trots det knappa forskningsmaterialet kring koreansk bodybuilding är studiens slutsats att koreanska kroppsbyggare är mer måna om den mödosamma processen i att bygga sina kroppar, snarare än hur dessa ser ut i sig själva. Studien suggererar också att koreansk bodybuilding verkar vara ett exempel på hybridiseringsteorin. Slutligen betonar studien behovet av mer utförlig forskning kring ämnet i fråga.
Myburg, Alexander Andrew. "Genetic Architecture of Hybrid Fitness and Wood Quality Traits in a Wide Interspecific Cross of Eucalyptus Tree Species". NCSU, 2001. http://www.lib.ncsu.edu/etd/public/etd-23521723610112031/etd.pdf.
Pełny tekst źródłaSvedin, Nina. "Natural and Sexual Selection in a Natural Hybrid Zone of Ficedula Flycatchers". Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7372.
Pełny tekst źródłaCai, Xinye. "A multi-objective GP-PSO hybrid algorithm for gene regulatory network modeling". Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1492.
Pełny tekst źródłaWiley, Chris. "Speciation - What Can be Learned from a Flycatcher Hybrid Zone?" Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7358.
Pełny tekst źródłaStacha, Radek. "Optimalizace kogeneračního systému". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231502.
Pełny tekst źródłaSILVA, David Augusto. "Otimização da função de fitness para a evolução de redes neurais com o uso de análise envoltória de dados aplicada à previsão de séries temporais". Universidade Federal Rural de Pernambuco, 2011. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/4875.
Pełny tekst źródłaMade available in DSpace on 2016-06-28T16:05:18Z (GMT). No. of bitstreams: 1 David Augusto Silva.pdf: 1453777 bytes, checksum: 4516b869e7e749b770a803eb7e91a084 (MD5) Previous issue date: 2011-07-01
The techniques for Time Series Analysis and Forecasting have great presence on the literature over the years. The computational resources combined with statistical techniques are improving the predictive results, and these results have been become increasingly accurate. Computational methods base on Artificial Neural Networks (ANN) and Evolutionary Computing (EC) are presenting a new approach to solve the Time Series Analysis and Forecasting problem. These computational methods are contained in the branch of Artificial Intelligence (AI), and they are biologically inspired, where the ANN models are based on the neural structure of intelligent organism, and the EC uses the concept of nature selection of Charles Darwin. Both methods acquire experience from prior knowledge and example of the given problem. In particular, for the Time Series Forecasting Problem, the objective is to find the predictive model with highest forecast perfomance, where the performance measure are statistical errors. However, there is no universal criterion to identify the best performance measure. Since the ANNs are the predictive models, the EC will constantly evaluate the forecast performance of the ANNs, using a fitness functions to guide the predictive model for an optimal solution. The Data Envelopment Analysis (DEA) was employed to predictive determine the best combination of variables based on the relative efficiency of the best models. Therefore, this work to study the optimization Fitness Function process with Data Envelopment Analysis applied the Intelligence Hybrid System for time series forecasting problem. The data analyzed are composed by financial data series, agribusiness and natural phenomena. The C language program was employed for implementation of the hybrid intelligent system and the R Environment version 2.12 for analysis of DEA models. In general, the perspective of using DEA procedure to evaluate the fitness functions were satisfactory and serves as an additional resource in the branch of time series forecasting. Researchers need to compute the results under different perspectives, whether in the matter of the computational cost of implementing a particular function or which function was more efficient in the aspect of assessing which combinations are unwanted saving time and resources.
As técnicas de análise e previsão de séries temporais alcançaram uma posição de distinção na literatura ao longo dos anos. A utilização de recursos computacionais, combinada com técnicas estatísticas, apresenta resultados mais precisos quando comparados com os recursos separadamente. Em particular, técnicas que usam Redes Neurais Artificiais (RNA) e Computação Evolutiva (CE), apresenta uma posição de destaque na resolução de problemas de previsão na análise de séries temporais. Estas técnicas de Inteligência Artificial (AI) são inspiradas biologicamente, no qual o modelo de RNA é baseado na estrutura neural de organismos inteligentes, que adquirem conhecimento através da experiência. Para o problema de previsão em séries temporais, um fator importante para o maior desempenho na previsão é encontrar um método preditivo com a melhor acurácia possível, tanto quanto possível, no qual o desempenho do método pode ser analisado através de erros de previsão. Entretanto, não existe um critério universal para identificar qual a melhor medida de desempenho a ser utilizada para a caracterização da previsão. Uma vez que as RNAs são os modelos de previsão, a CE constantemente avaliará o desempenho de previsão das RNAs, usando uma função de fitness para guiar o modelo preditivo para uma solução ótima. Desejando verificar quais critérios seriam mais eficientes no momento de escolher o melhor modelo preditivo, a Análise Envoltória de Dados (DEA) é aplicada para fornecer a melhor combinação de variáveis visando a otimização do modelo. Portanto, nesta dissertação, foi estudado o processo de otimização de Funções de Fitness através do uso da Análise Envoltória de Dados utilizando-se de técnicas hibridas de Inteligência Artificial aplicadas a área de previsão de séries temporais. O banco de dados utilizado foi obtido de séries históricas econômico- financeiras, fenômenos naturais e agronegócios obtidos em diferentes órgãos específicos de cada área. Quanto à parte operacional, utilizou-se a linguagem de programação C para implementação do sistema híbrido inteligente e o ambiente R versão 2.12 para a análise dos modelos DEA. Em geral, a perspectiva do uso da DEA para avaliar as Funções de Fitness foi satisfatório e serve como recurso adicional na área de previsão de séries temporais. Cabe ao pesquisador, avaliar os resultados sob diferentes óticas, quer seja sob a questão do custo computacional de implementar uma determinada Função que foi mais eficiente ou sob o aspecto de avaliar quais combinações não são desejadas poupando tempo e recursos.
Książki na temat "Hybrid fitness"
Birch, Jonathan. Hamilton’s Rule as an Organizing Framework. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198733058.003.0002.
Pełny tekst źródłaCzęści książek na temat "Hybrid fitness"
Arunkumar, C., S. Ramakrishnan i Siva Sai Dheeraj. "Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function". W Computational Vision and Bio Inspired Computing, 1–10. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71767-8_1.
Pełny tekst źródłaQiu, Shuang, i J. Andrew Taylor. "Hybrid Functional Electrical Stimulation Exercise for Improved Cardiorespiratory Fitness in SCI". W The Physiology of Exercise in Spinal Cord Injury, 269–86. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4939-6664-6_14.
Pełny tekst źródłaYang, Byounghak. "Hybrid Evolutionary Algorithms for the Rectilinear Steiner Tree Problem Using Fitness Estimation". W Computational Science and Its Applications - ICCSA 2006, 581–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751595_62.
Pełny tekst źródłaChira, Camelia, i Nima Hatami. "Hybrid Evolutionary Algorithm with a Composite Fitness Function for Protein Structure Prediction". W Intelligent Data Engineering and Automated Learning - IDEAL 2012, 184–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32639-4_23.
Pełny tekst źródłaWang, Zihao, Zhengnan Yuan, He Xu i Caleb Eghan. "Intelligent Private Fitness System Based on ARM and Hybrid Internet of Things". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 91–101. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60753-5_10.
Pełny tekst źródłaLu, Bao-Rong. "Assessing environmental impact of pollen-mediated transgene flow." W Gene flow: monitoring, modeling and mitigation, 1–25. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789247480.0001.
Pełny tekst źródłaOhara, Seiji, Admir Barolli, Phudit Ampririt, Shinji Sakamoto, Leonard Barolli i Makoto Takizawa. "Performance Evaluation of WMN-PSODGA Hybrid Simulation System for Node Placement Problem Considering Normal Distribution and Different Fitness Functions". W Advances in Internet, Data and Web Technologies, 89–101. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39746-3_11.
Pełny tekst źródłaLiu, Lai-Pan, Kun Xue i Biao Liu. "Monitoring gene flow from genetically modified soybean to cultivated soybean and wild soybean in China." W Gene flow: monitoring, modeling and mitigation, 71–85. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789247480.0005.
Pełny tekst źródłaEriksson, Roger, i Björn Olsson. "On the Behavior of Evolutionary Global-Local Hybrids with Dynamic Fitness Functions". W Parallel Problem Solving from Nature — PPSN VII, 13–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45712-7_2.
Pełny tekst źródłaArnold, Michael L. "Hybrid fitness". W Evolution through Genetic Exchange, 82–108. Oxford University Press, 2007. http://dx.doi.org/10.1093/acprof:oso/9780199229031.003.0005.
Pełny tekst źródłaStreszczenia konferencji na temat "Hybrid fitness"
Devarapu, Ganga Chinna Rao, Venkata Vamsi Bharadwaj Yallapragada, Fay ní Chlochasaigh, Uday Gowda, Adarsh Ananthachar i Liam O'Faolain. "ColorX: fitness tracker-based colorimetric sensor for biochemical applications". W Organic and Hybrid Sensors and Bioelectronics XIII, redaktorzy Ruth Shinar, Ioannis Kymissis i Emil J. List-Kratochvil. SPIE, 2020. http://dx.doi.org/10.1117/12.2568853.
Pełny tekst źródłaFernandes, C. M., J. J. Merelo i A. C. Rosa. "Tracking Extrema in Dynamic Fitness Functions with Dissortative Mating Genetic Algorithms". W 2008 8th International Conference on Hybrid Intelligent Systems (HIS). IEEE, 2008. http://dx.doi.org/10.1109/his.2008.52.
Pełny tekst źródłaLal, Abhishek, i C. R. S. Kumar. "Hybrid classifier for increasing accuracy of fitness data set". W 2017 2nd International Conference for Convergence in Technology (I2CT). IEEE, 2017. http://dx.doi.org/10.1109/i2ct.2017.8226326.
Pełny tekst źródłaMani, Mayank, Manpreet Kaur i Ajay K. Sharma. "Fitness based Enhanced Stable Election Protocol: A hybrid approach". W 2014 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2014. http://dx.doi.org/10.1109/conecct.2014.6740291.
Pełny tekst źródłaJian, Hu, Li Zhishu, Lin Xun, Fan Yixiang i Ou Peng. "Hybrid Particle Swarm Optimizers with a General Fitness Evaluation Strategy". W 2009 International Forum on Information Technology and Applications (IFITA). IEEE, 2009. http://dx.doi.org/10.1109/ifita.2009.188.
Pełny tekst źródłaQuagliarella, Domenico, Pierluigi Iannelli, Pier Luigi Vitagliano i Giorgio Chinnici. "Aerodynamic Shape Design Using Hybrid Evolutionary Computation and Fitness Approximation". W AIAA 1st Intelligent Systems Technical Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-6514.
Pełny tekst źródłaLoomba, Radhika, Thijs Metsch, Leonard Feehan i Joe Butler. "A Hybrid Fitness-Utility Algorithm for Improved Service Chain Placement". W GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8648033.
Pełny tekst źródłaJihua Feng, Wenjuan Li, Xinling Shi i Jianhua Chen. "A Hybrid Genetic Algorithm with Fitness Sharing Based on Rough Sets Theory". W 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712986.
Pełny tekst źródłaKawamura, Kengo, i Toshimichi Saito. "Design of switching circuits based on particle swarm optimizer and hybrid fitness function". W IECON 2010 - 36th Annual Conference of IEEE Industrial Electronics. IEEE, 2010. http://dx.doi.org/10.1109/iecon.2010.5675523.
Pełny tekst źródłaKoc¸ak, Mustafa, Eduard Seib i Afshin Motarjemi. "Improvements to the Fracture Assessment of Welds Using FITNET Fitness for Service Assessment Procedure". W ASME 2005 24th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2005. http://dx.doi.org/10.1115/omae2005-67568.
Pełny tekst źródłaRaporty organizacyjne na temat "Hybrid fitness"
Coplin, David L., Shulamit Manulis i Isaac Barash. roles Hrp-dependent effector proteins and hrp gene regulation as determinants of virulence and host-specificity in Erwinia stewartii and E. herbicola pvs. gypsophilae and betae. United States Department of Agriculture, czerwiec 2005. http://dx.doi.org/10.32747/2005.7587216.bard.
Pełny tekst źródłaFridman, Eyal, Jianming Yu i Rivka Elbaum. Combining diversity within Sorghum bicolor for genomic and fine mapping of intra-allelic interactions underlying heterosis. United States Department of Agriculture, styczeń 2012. http://dx.doi.org/10.32747/2012.7597925.bard.
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