Eiichiro Tazaki

32 papers B 11Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2007 J jnl
New Model Based on Cellular Automata and Multiagent Techniques.
Cybern. Syst.
Daisuke Yamaguchi, Yasser F. Hassan, Eiichiro Tazaki
2006 J jnl
Emergence decision using hybrid rough sets/cellular automata.
Kybernetes
Yasser F. Hassan, Eiichiro Tazaki
2005 J jnl
New learning method for cellular neural networks template based on combination between rough sets and genetic programming.
Cybern. Syst.
Elsayed Radwan, Eiichiro Tazaki
2005 — conf
Waste Incinerator Emission Prediction Using Probabilistically Optimal Ensemble of Multi-agents.
KES (3)
Daisuke Yamaguchi, Kenneth J. Mackin, Eiichiro Tazaki
2004 J jnl
Emergent Rough Set Data Analysis.
Trans. Rough Sets
Yasser F. Hassan, Eiichiro Tazaki
2004 J jnl
Rough Sets and Genetic Algorithms in Learning Cellular Neural Networks Cloning Template for Decision Making System.
Int. J. Neural Syst.
Elsayed Radwan, Eiichiro Tazaki
2004 J jnl
Template learning of cellular neural network using genetic programming.
Int. J. Neural Syst.
Elsayed Radwan, Eiichiro Tazaki
2003 J jnl
Adaptive Behavior in Cellular Automata Using Rough Set Theory.
Appl. Artif. Intell.
Yasser F. Hassan, Eiichiro Tazaki
2003 B conf
Cellular Automata Model Based on Multiagent Techniques.
KES
Yasser F. Hassan, Eiichiro Tazaki, Daisuke Yamaguchi
2003 J jnl
Emergent Computation Using a New Model of Cellular Automata.
Appl. Artif. Intell.
Yasser F. Hassan, Eiichiro Tazaki
2003 J jnl
Emergent Model Based On Hybrid Rough Sets Systems.
Complex Syst.
Yasser F. Hassan, Eiichiro Tazaki
2003 J jnl
Induction of Knowledge Using Evolutionary Rough Set Theory.
Cybern. Syst.
Yasser F. Hassan, Eiichiro Tazaki
2003 — conf
Interpretation of Rough Neural Networks as Emergent Model.
RSFDGrC
Yasser F. Hassan, Eiichiro Tazaki
2002 J jnl
Decision Making Using Hybrid Rough Sets and Neural Networks.
Int. J. Neural Syst.
Yasser F. Hassan, Eiichiro Tazaki, Shin Egawa, Kazuho Suyama
2001 J jnl
Combined Method of Genetic Programming and Association Rule Algorithm.
Appl. Artif. Intell.
Ayahiko Niimi, Eiichiro Tazaki
2001 — conf
Extended Genetic Programming Using Apriori Algorithm for Rule Discovery.
JSAI Workshops
Ayahiko Niimi, Eiichiro Tazaki
2000 B conf
Evolving intelligent multiagent systems using unsupervised agent communication and behavior training.
SMC
Kenneth J. Mackin, Eiichiro Tazaki
2000 B conf
Fuzzy reasoning model of facial selection and its applications.
KES
Toshiyuki Yamashita, Takumi Ichimura, Eiichiro Tazaki, Masahiro Takahashi
2000 B conf
Genetic programming combined with association rule algorithm for decision tree construction.
KES
Ayahiko Niimi, Eiichiro Tazaki
2000 B conf
Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm.
Discovery Science
Ayahiko Niimi, Eiichiro Tazaki
2000 B conf
Unsupervised training of multiobjective agent communication using genetic programming.
KES
Kenneth J. Mackin, Eiichiro Tazaki
1999 J jnl
Emergence of Learning Rule in Neural Networks Using Genetic Programming Combined with Decision Trees.
J. Adv. Comput. Intell. Intell. Informatics
Noboru Matsumoto, Kenneth J. Mackin, Eiichiro Tazaki
1999 B conf
Emergence of group behavior in multiagent systems using self trained agent communication.
IJCNN
Kenneth J. Mackin, Eiichiro Tazaki
1999 B conf
Leaning of neural networks using extended genetic algorithm with neutral mutation-application to ill-posed medical diagnostic system [for leaning read learning].
IJCNN
Kazuhiro Ooba, Eiichiro Tazaki
1999 B conf
Object oriented approach to combined learning of decision tree and ADF GP.
IJCNN
Ayahiko Niimi, Eiichiro Tazaki
1999 B conf
Rule Discovery Technique Using GP with Crossover to Maintain Variety.
Discovery Science
Ayahiko Niimi, Eiichiro Tazaki
1998 B conf
Emergence of learning rule in neural networks using genetic programming combined with decision trees.
SMC
Noboru Matsumoto, Eiichiro Tazaki
1998 — conf
Heuristic approach to topology generation for knowledge-based fuzzy Petri nets.
KES (1)
Yuji Ouchi, Eiichiro Tazaki
1997 — conf
Extraction method of rules from reflective neural network architecture.
ICNN
Takumi Ichimura, Noboru Matsumoto, Eiichiro Tazaki, Katsumi Yoshida
1995 — conf
Applying adaptive structured genetic algorithm to reasoning and learning method for fuzzy rules using neural networks.
ICNN
Takumi Ichimura, Eiichiro Tazaki
1979 J jnl
Heuristic Structure Synthesis in a Class of Systems Using a Fuzzy Automaton.
IEEE Trans. Syst. Man Cybern.
Eiichiro Tazaki, Michio Amagasa
1974 — conf
Evaluation Model of Humanistic Systems by Fuzzy Multiple Integral and Fuzzy Correlation.
Optimization Techniques
Eiichiro Tazaki, Michio Amagasa