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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 PMG. Y. Lee Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, page403--409. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, 27-30 May2001. to Time programming, genetic Perturbation Series, algorithms, Theory by brazovayeye on Jun 19, 2008, 5:35 PMHitoshi Iba and Nikolay Nikolaev Proceedings of the 2000 Congress on Evolutionary Computation CEC00, page1459--1466. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, 6-9 July2000. to series, time programming, stroganoff genetic algorithms, by brazovayeye on Jun 19, 2008, 5:35 PMHitoshi Iba and Taisuke Sato and Hugo de Garis 1995 IEEE Conference on Evolutionary Computation, 1, page97--102. Perth, Australia, IEEE Press, 29 November - 1 December1995. to computer series, series STROGANOFF, algorithm-based regression analysis statistical function time recombination, programming, search method, mechanism, algorithms, structured multiple problems, program, analysis, problems adaptive recombination chaotic prediction, system identification genetic program strategy, numerical representation, vision, fitting, estimation, nonlinear by brazovayeye on Jun 19, 2008, 5:35 PMMagnus Lie Hetland and Pal Saetrom Machine Learning58(2-3):107--125February2005. to series, time knowledge hardware programming, sequence genetic discovery, mining, specialised algorithms, by brazovayeye on Jun 19, 2008, 5:35 PMMagnus Lie Hetland and Pal Saetrom Proceedings of the 4th International Conference on Recent Advances in Soft Computing, page182--188. Nottingham, United Kingdom, The Nottingham Trent University, 12-13 December2002. to series, matching hardware Time programming, pattern sequence genetic rule discovery, mining, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PMChristian Hafner and Jurg Frohlich Proceedings of the Congress on Evolutionary Computation, 1, page287--294. Mayflower Hotel, Washington D.C., USA, IEEE Press, 6-9 July1999. to series series, complex regression, function time parameter programming, future techniques, evolutionary codes, highly algorithms, computation, data, analysis, economy optimization symbolic prediction, physics, genetic hybrid prominent expansions, generalized by brazovayeye on Jun 19, 2008, 5:35 PMMinglei Duan and Richard J. Povinelli Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page174. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001. to series, Poster, time genetic programming: data prediction mining, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PMHongqing Cao and Lishan Kang and Yuping Chen and Tao Guo Computers \& Mathematics with Applications46(8-9):1397--1411(
2003)
to Differential series, Time programming, equation genetic algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM