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1Phase compensating dielectric lens design with genetic programming: Research Articles
L. Sun, E. Hines, R. Green, M. Leeson, и D. Iliescu. International Journal of RF and Microwave Computer-Aided Engineering, 17 (5): 493--504 (2007)
17 лет назад , @brazovayeye
Fermat's
Fresnel
HFSS
algorithms,
genetic
lens,
principle,
programming,
Fermat'sFresnelHFSSalgorithms,geneticlens,principle,programming,
(0)
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1Evolutionary Induction of Sparse Neural Trees
B. Zhang, P. Ohm, и H. Mühlenbein. Evolutionary Computation, 5 (2): 213--236 (1997)
17 лет назад , @brazovayeye
Minimum
algorithm
algorithms,
breeder
description
genetic
higher-order
induction,
length
networks,
neural
prediction,
principle,
program
programming,
representation,
series
time
tree
Minimumalgorithmalgorithms,breederdescriptiongenetichigher-orderinduction,lengthnetworks,neuralprediction,principle,programprogramming,representation,seriestimetree
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2Balancing Accuracy and Parsimony in Genetic Programming
B. Zhang, и H. Mühlenbein. Evolutionary Computation, 3 (1): 17--38 (1995)
17 лет назад , @brazovayeye
Bayesian
Evolving
Machine
Minimum
Tree
algorithms,
comparison,
description
genetic
induction,
learning,
length
model
networks.
neural
principle,
programming,
BayesianEvolvingMachineMinimumTreealgorithms,comparison,descriptiongeneticinduction,learning,lengthmodelnetworks.neuralprinciple,programming,
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1Implementing Linear Models in Genetic Programming
Y. Yeun, W. Ruy, Y. Yang, и N. Kim. IEEE Transactions on Evolutionary Computation, 8 (6): 542--566 (декабря 2004)
17 лет назад , @brazovayeye
(DDBS),
(MDL)
Directional
algorithms,
derivative-based
description
genetic
length
linear
minimum
model,
polynomial,
principle,
processing
programming,
smoothing
symbolic
(DDBS),(MDL)Directionalalgorithms,derivative-baseddescriptiongeneticlengthlinearminimummodel,polynomial,principle,processingprogramming,smoothingsymbolic
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3Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms
J. Hu, E. Goodman, K. Seo, и M. Pei. GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, стр. 772--779. New York, Morgan Kaufmann Publishers, (9-13 July 2002)
17 лет назад , @brazovayeye
adaptive
algorithm,
algorithms,
competition
convergence
evolutionary
fair
genetic
hierarchical
parallel
premature
principle,
programming,
topology,
adaptivealgorithm,algorithms,competitionconvergenceevolutionaryfairgenetichierarchicalparallelprematureprinciple,programming,topology,
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1Finding Perceived Pattern Structures using Genetic Programming
M. Dastani, E. Marchiori, и R. Voorn. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), стр. 3--10. San Francisco, California, USA, Morgan Kaufmann, (7-11 July 2001)
17 лет назад , @brazovayeye
(SIT),
algorithms,
genetic
gestalt,
information
perception,
perceptual
principle,
programming,
regularity
simplicity
structural
theory
visual
(SIT),algorithms,geneticgestalt,informationperception,perceptualprinciple,programming,regularitysimplicitystructuraltheoryvisual
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1Simulating economic transition processes by genetic programming
S. Chen, и C. Yeh. Annals of Operations Research, 97 (1-4): 265--286 (декабря 2000)
17 лет назад , @brazovayeye
Kolmogorov
algorithms,
bounded
complexity,
description
genetic
length
minimum
principle,
programming,
rationality,
selling
short
Kolmogorovalgorithms,boundedcomplexity,descriptiongeneticlengthminimumprinciple,programming,rationality,sellingshort
(0)
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2Toward a Computable Approach to the Efficient Market Hypothesis: An Application of Genetic Programming
S. Chen, и C. Yeh. Journal of Economic Dynamics and Control, 21 (6): 1043--1063 (1 June 1997)
17 лет назад , @brazovayeye
Efficient
Evolutionary
Mean
Minimum
absolute
algorithms,
computation,
description
error,
genetic
hypothesis
length
market
percentage
principle,
programming,
EfficientEvolutionaryMeanMinimumabsolutealgorithms,computation,descriptionerror,genetichypothesislengthmarketpercentageprinciple,programming,
(0)
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публикации (спрятать)8
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1Phase compensating dielectric lens design with genetic programming: Research Articles

1Evolutionary Induction of Sparse Neural Trees

2Balancing Accuracy and Parsimony in Genetic Programming

1Implementing Linear Models in Genetic Programming

3Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms

1Finding Perceived Pattern Structures using Genetic Programming

1Simulating economic transition processes by genetic programming

2Toward a Computable Approach to the Efficient Market Hypothesis: An Application of Genetic Programming

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