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Eiichiro Tazaki: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ayahiko Niimi, Eiichiro Tazaki
    Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2000, pp:273-277 [Conf]
  2. Ayahiko Niimi, Eiichiro Tazaki
    Rule Discovery Technique Using GP with Crossover to Maintain Variety. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1999, pp:347-348 [Conf]
  3. Eiichiro Tazaki, Michio Amagasa
    Evaluation Model of Humanistic Systems by Fuzzy Multiple Integral and Fuzzy Correlation. [Citation Graph (0, 0)][DBLP]
    Optimization Techniques, 1974, pp:121-127 [Conf]
  4. Ayahiko Niimi, Eiichiro Tazaki
    Extended Genetic Programming Using Apriori Algorithm for Rule Discovery. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:525-532 [Conf]
  5. Yasser Hassan, Eiichiro Tazaki, Daisuke Yamaguchi
    Cellular Automata Model Based on Multiagent Techniques. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1396-1404 [Conf]
  6. Daisuke Yamaguchi, Kenneth J. Mackin, Eiichiro Tazaki
    Waste Incinerator Emission Prediction Using Probabilistically Optimal Ensemble of Multi-agents. [Citation Graph (0, 0)][DBLP]
    KES (3), 2005, pp:526-532 [Conf]
  7. Yasser Hassan, Eiichiro Tazaki
    Interpretation of Rough Neural Networks as Emergent Model. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:245-249 [Conf]
  8. Yasser Hassan, Eiichiro Tazaki
    Emergent Computation Using a New Model of Cellular Automata. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2003, v:17, n:1, pp:39-69 [Journal]
  9. Yasser Hassan, Eiichiro Tazaki
    Adaptive Behavior in Cellular Automata Using Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2003, v:17, n:2, pp:155-175 [Journal]
  10. Ayahiko Niimi, Eiichiro Tazaki
    Combined Method of Genetic Programming and Association Rule Algorithm. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2001, v:15, n:9, pp:825-842 [Journal]
  11. Yasser Hassan, Eiichiro Tazaki
    Induction of Knowledge Using Evolutionary Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    Cybernetics and Systems, 2003, v:34, n:8, pp:617-643 [Journal]
  12. Elsayed Radwan, Eiichiro Tazaki
    New learning method for cellular neural networks template based on combination between rough sets and genetic programming. [Citation Graph (0, 0)][DBLP]
    Cybernetics and Systems, 2005, v:36, n:4, pp:415-444 [Journal]
  13. Yasser Hassan, Eiichiro Tazaki, Shin Egawa, Kazuho Suyama
    Decision Making Using Hybrid Rough Sets and Neural Networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2002, v:12, n:6, pp:435-446 [Journal]
  14. Elsayed Radwan, Eiichiro Tazaki
    Rough Sets and Genetic Algorithms in Learning Cellular Neural Networks Cloning Template for Decision Making System. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2004, v:14, n:1, pp:57-68 [Journal]
  15. Elsayed Radwan, Eiichiro Tazaki
    Template learning of cellular neural network using genetic programming. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2004, v:14, n:4, pp:247-256 [Journal]
  16. Noboru Matsumoto, Kenneth J. Mackin, Eiichiro Tazaki
    Emergence of Learning Rule in Neural Networks Using Genetic Programming Combined with Decision Trees. [Citation Graph (0, 0)][DBLP]
    JACIII, 1999, v:3, n:4, pp:223-233 [Journal]
  17. Yasser Hassan, Eiichiro Tazaki
    Emergent Rough Set Data Analysis. [Citation Graph (0, 0)][DBLP]
    , 2004, v:, n:, pp:343-362 [Journal]

  18. Unsupervised training of multiobjective agent communication using genetic programming. [Citation Graph (, )][DBLP]


  19. Genetic programming combined with association rule algorithm for decision tree construction. [Citation Graph (, )][DBLP]


  20. New Model Based on Cellular Automata and Multiagent Techniques. [Citation Graph (, )][DBLP]


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