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Eiichiro Tazaki
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2000 – 2009
- 2007
- [j14]Daisuke Yamaguchi, Yasser F. Hassan
, Eiichiro Tazaki:
New Model Based on Cellular Automata and Multiagent Techniques. Cybern. Syst. 38(1): 47-82 (2007) - 2006
- [j13]Yasser F. Hassan
Emergence decision using hybrid rough sets/cellular automata. Kybernetes 35(6): 797-813 (2006) - 2005
- [j12]Elsayed Radwan
New learning method for cellular neural networks template based on combination between rough sets and genetic programming. Cybern. Syst. 36(4): 415-444 (2005) - [c18]Daisuke Yamaguchi, Kenneth J. Mackin, Eiichiro Tazaki:
Waste Incinerator Emission Prediction Using Probabilistically Optimal Ensemble of Multi-agents. KES (3) 2005: 526-532 - 2004
- [j11]Elsayed Radwan
Rough Sets and Genetic Algorithms in Learning Cellular Neural Networks Cloning Template for Decision Making System. Int. J. Neural Syst. 14(1): 57-68 (2004) - [j10]Elsayed Radwan
Template learning of cellular neural network using genetic programming. Int. J. Neural Syst. 14(4): 247-256 (2004) - [j9]Yasser F. Hassan, Eiichiro Tazaki:
Emergent Rough Set Data Analysis. Trans. Rough Sets 2: 343-362 (2004) - 2003
- [j8]Yasser F. Hassan
Emergent Computation Using a New Model of Cellular Automata. Appl. Artif. Intell. 17(1): 39-69 (2003) - [j7]Yasser F. Hassan
Adaptive Behavior in Cellular Automata Using Rough Set Theory. Appl. Artif. Intell. 17(2): 155-175 (2003) - [j6]Yasser F. Hassan
Induction of Knowledge Using Evolutionary Rough Set Theory. Cybern. Syst. 34(8): 617-643 (2003) - [j5]Yasser F. Hassan, Eiichiro Tazaki:
Emergent Model Based On Hybrid Rough Sets Systems. Complex Syst. 14(3) (2003) - [c17]Yasser F. Hassan, Eiichiro Tazaki, Daisuke Yamaguchi:
Cellular Automata Model Based on Multiagent Techniques. KES 2003: 1396-1404 - [c16]Yasser F. Hassan, Eiichiro Tazaki:
Interpretation of Rough Neural Networks as Emergent Model. RSFDGrC 2003: 245-249 - 2002
- [j4]Yasser F. Hassan, Eiichiro Tazaki, Shin Egawa, Kazuho Suyama:
Decision Making Using Hybrid Rough Sets and Neural Networks. Int. J. Neural Syst. 12(6): 435-446 (2002) - 2001
- [j3]Ayahiko Niimi, Eiichiro Tazaki:
Combined Method of Genetic Programming and Association Rule Algorithm. Appl. Artif. Intell. 15(9): 825-842 (2001) - [c15]Ayahiko Niimi, Eiichiro Tazaki:
Extended Genetic Programming Using Apriori Algorithm for Rule Discovery. JSAI Workshops 2001: 525-532 - 2000
- [c14]Ayahiko Niimi, Eiichiro Tazaki:
Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm. Discovery Science 2000: 273-277 - [c13]Kenneth J. Mackin, Eiichiro Tazaki:
Unsupervised training of multiobjective agent communication using genetic programming. KES 2000: 738-741 - [c12]Ayahiko Niimi, Eiichiro Tazaki:
Genetic programming combined with association rule algorithm for decision tree construction. KES 2000: 746-749 - [c11]Toshiyuki Yamashita, Takumi Ichimura, Eiichiro Tazaki, Masahiro Takahashi:
Fuzzy reasoning model of facial selection and its applications. KES 2000: 860-863 - [c10]Kenneth J. Mackin, Eiichiro Tazaki:
Evolving intelligent multiagent systems using unsupervised agent communication and behavior training. SMC 2000: 2411-2414
1990 – 1999
- 1999
- [j2]Noboru Matsumoto, Kenneth J. Mackin, Eiichiro Tazaki:
Emergence of Learning Rule in Neural Networks Using Genetic Programming Combined with Decision Trees. J. Adv. Comput. Intell. Intell. Informatics 3(4): 223-233 (1999) - [c9]Ayahiko Niimi, Eiichiro Tazaki:
Rule Discovery Technique Using GP with Crossover to Maintain Variety. Discovery Science 1999: 347-348 - [c8]Kenneth J. Mackin, Eiichiro Tazaki:
Emergence of group behavior in multiagent systems using self trained agent communication. IJCNN 1999: 2241-2244 - [c7]Kazuhiro Ooba, Eiichiro Tazaki:
Leaning of neural networks using extended genetic algorithm with neutral mutation-application to ill-posed medical diagnostic system [for leaning read learning]. IJCNN 1999: 4161-4165 - [c6]Ayahiko Niimi, Eiichiro Tazaki:
Object oriented approach to combined learning of decision tree and ADF GP. IJCNN 1999: 4166-4170 - 1998
- [c5]Yuji Ouchi, Eiichiro Tazaki:
Heuristic approach to topology generation for knowledge-based fuzzy Petri nets. KES (1) 1998: 331-334 - [c4]Noboru Matsumoto, Eiichiro Tazaki:
Emergence of learning rule in neural networks using genetic programming combined with decision trees. SMC 1998: 1801-1805 - 1997
- [c3]Takumi Ichimura, Noboru Matsumoto, Eiichiro Tazaki, Katsumi Yoshida:
Extraction method of rules from reflective neural network architecture. ICNN 1997: 510-515 - 1995
- [c2]Takumi Ichimura, Eiichiro Tazaki:
Applying adaptive structured genetic algorithm to reasoning and learning method for fuzzy rules using neural networks. ICNN 1995: 3124-3128
1970 – 1979
- 1979
- [j1]Eiichiro Tazaki, Michio Amagasa:
Heuristic Structure Synthesis in a Class of Systems Using a Fuzzy Automaton. IEEE Trans. Syst. Man Cybern. 9(2): 73-79 (1979) - 1974
- [c1]Eiichiro Tazaki, Michio Amagasa:
Evaluation Model of Humanistic Systems by Fuzzy Multiple Integral and Fuzzy Correlation. Optimization Techniques 1974: 121-127
Coauthor Index
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