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publications

(10)   

• A comparison of classification accuracy of four genetic programming-evolved intelligent structures
  Athanasios Tsakonas Information Sciences176(6):691--72422 March2006.
  to trees, Context-free neural grammars, networks, Petri-nets programming, Decision genetic Artificial rule-based algorithms, systems, Fuzzy by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Evolutionary Optimization of Logic-Oriented Systems
  Witold Pedrycz and Marek Reformat Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page1389--1396. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001.
  to real computing, programming genetic fuzzy rule-based neurons, models, architectures, world logic applications, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Rule-based Genetic Programming
  Thomas Weise and Michael Zapf and Kurt Geihs Proceedings of BIONETICS 2007, 2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, Radisson SAS Beke Hotel, 43. Terez krt., Budapest H-1067, Hungary, Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), IEEE, ACM, December~102007.
  to Section, Systems, Learning Programming, Classifier Critical Genetic Rule-based programming, Distributed genetic algorithms, Neutrality, Systems GP, Epistasis, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Comparing learning classifier systems and Genetic Programming: a case study
  S. Sette and B. Wyns and L. Boullart Engineering Applications of Artificial Intelligence17(2):199--204(2004)
  to Learning programming, genetic process, classifier learning algorithms, systems, machine production Textile Rule-based by brazovayeye on Jun 19, 2008, 5:35 PM
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• Backward-chaining Evolutionary Algorithms
  Riccardo Poli and William B. Langdon Artificial Intelligence170(11):953--982August2006.
  to Systems, Evolutionary Algorithms, selection Rule-based Backward-chaining, Selection, programming, genetic Tournament Theory, Efficient algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Predictive function and rules for population dynamics of Microcystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithms
  Dong-Kyun Kim and Hongqing Cao and Kwang-Seuk Jeong and Friedrich Recknagel and Gea-Jae Joo Ecological Modelling203(1-2):147--15624 April2007. Special Issue on Ecological Informatics: Biologically-Inspired Machine Learning, 4th Conference of the International Society for Ecological Informatics...Special Issue on Ecological Informatics: Biologically-Inspired Machine Learning, 4th Conference of the International Society for Ecological Informatics .
  to Sensitivity Evolutionary Machine aeruginosa, analysis learning, river, Regulated Rule-based function Microcystis programming, genetic algorithms, model, Algebraic computation, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Symbolic and numerical regression: Experiments and applications
  J. W. Davidson and D. A. Savic and G. A. Walters Information Sciences150(1-2):95--117(2003)
  to Least Stepwise programming, Symbolic regression, genetic squares, regression algorithms, Rule-based by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Symbolic and numerical regression: experiments and applications
  J. W. Davidson and D. A. Savic and G. A. Walters Developments in Soft Computing, page175--182. De Montfort University, Leicester, UK, Physica Verlag, 29-30 June 2000.2001.
  to least-squares, programming, regression, genetic rule-based symbolic regression algorithms, stepwise by brazovayeye on Jun 19, 2008, 5:35 PM
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• Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
  Oscar Cordon and Francisco Herrera and Luciano Sanchez Applied Intelligence10(1):5--24January1999.
  to systems program, analysis, data algorithm electrical programming, fuzzy genetic evolutionary rule-based engineering, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Enhancing Knowledge Discovery via Association-Based Evolution of Neural Logic Networks
  Henry W. K. Chia and Chew Lim Tan and Sam Y. Sung IEEE Transactions on Knowledge and Data Engineering18(7):889--901(2006)
  to knowledge mining, neural acquisition, and Data programming, genetic representation rule-based connectionism nets, algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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