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publications

(9)   

• Separation Surfaces Through Genetic Programming
  Jose C. Riquelme and Raul Giraldez and Jesus S. Aguilar and Roberto Ruiz 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2001), volume2070ofLecture Notes in Computer Science, page428--433. Budapest, Springer-Verlag, 4-7 June2001.
  to systems programming, genetic dynamical algorithms, classification, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Dynamical model reconstruction and accurate prediction of power-pool time series
  Vinay Varadan and Henry Leung and Eloi Bosse IEEE Transactions on Instrumentation and Measurement55(1):327--336February2006.
  to series, predictor, correlation-dimension basis demand, Chaos, Lyapunov least neural Lyapunov-spectrum, function methods, time low-dimensional squares dimension, power Lyapunov-dimension (RBF) embedding attractor-dimension, GP, demand analysis, dynamical system, and prediction, price price, nonlinearity power-pool estimates, delay systems, dynamics, chaos, fractal-dimension series model embedding, approximations, net state-space radial fractals, programming, algorithms, theory, time-series markets, calculation, prediction chaotic network, stationarity exponents, genetic tests, local fractal reconstruction, estimation, nonlinear by brazovayeye on Jun 19, 2008, 5:35 PM
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• Training genetic programming on half a million patterns: an example from anomaly detection
  Dong Song and Malcolm I. Heywood and A. Nur Zincir-Heywood IEEE Transactions on Evolutionary Computation9(3):225--239June2005.
  to KDD-99 fitness data filtering, mining, security RSS-DSS subset hierarchical of programming programming, sets algorithms, data, function, algorithm, dynamical set,Dynamic functions, (artificial learning training, cost selection anomaly intelligence), detection dataset genetic real-world detection, (DSS), large intrusion by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience
  Stefan Schneider and Christian Igel and Christian Klaes and Hubert R. Dinse and Jan C. Wiemer Genetic Programming and Evolvable Machines5(2):215--227June2004.
  to neuroscience computational strategy, dynamical neural systems, fields, evolution by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Learning noise
  Michael D. Schmidt and Hod Lipson GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page1680--1685. London, ACM Press, 7-11 July2007.
  to programming, genetic dynamical symbolic regression algorithms, systems, stochastic elements, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Structural system identification using genetic programming and a block diagram oriented simulation tool
  Gary J. Gray and Yun Li and D. J. Murray-Smith and K. C. Sharman Electronics Letters32(15):1422--142418 July1996.
  to systems simulated dynamic algorithm, optimisation, dynamical block structural simulation system simplex/simulated programming, genetic simulation, annealing, tool, identification, algorithms, diagram, hybrid model, annealing nonlinear by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Dynamical Properties of the Fitness Landscape of a GP Controlled Random Morphology Robot
  Peter Dittrich and Andre Skusa and Wolfgang Kantschik and Wolfgang Banzhaf Proceedings of the Genetic and Evolutionary Computation Conference, 2, page1002--1008. Orlando, Florida, USA, Morgan Kaufmann, 13-17 July1999.
  to evolution, robotics, fitness dynamical landscape, evolvable on-line reference hardware, programming, genetic evolutionary algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Nonlinear model structure identification of complex biomedical data using a genetic-programming-based technique
  Grigorios N. Beligiannis and Lambros V. Skarlas and Spiridon D. Likothanassis and Katerina G. Perdikouri IEEE Transactions on Instrumentation and Measurement54(6):2184--2190December2005.
  to systems structure complex model processing, data dynamical signal multimodel partitioning medical programming, genetic evolutionary identification, algorithms, biomedical filters, nonlinear by brazovayeye on Jun 19, 2008, 5:35 PM
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• An evolutionary program for the identification of dynamical systems
  Peter J. Angeline and David B. Fogel Application and Science of Artificial Neural Networks III, 3077, page409--417. (1997)
  to system programming, genetic evolutionary dynamical optimization identification, algorithms, systems, computation, by brazovayeye on Jun 19, 2008, 5:35 PM
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