Eiichiro Tazaki

Publication Activity (10 Years)

Years Active: 1974-2007
Publications (10 Years): 0

Publications

Daisuke Yamaguchi, Yasser Hassan, Eiichiro Tazaki
New Model Based on Cellular Automata and Multiagent Techniques. Cybern. Syst. 38 (1) (2007)
Yasser Hassan, Eiichiro Tazaki
Emergence decision using hybrid rough sets/cellular automata. Kybernetes 35 (6) (2006)
Daisuke Yamaguchi, Kenneth J. Mackin, Eiichiro Tazaki
Waste Incinerator Emission Prediction Using Probabilistically Optimal Ensemble of Multi-agents. KES (3) (2005)
Elsayed Radwan, Eiichiro Tazaki
New learning method for cellular neural networks template based on combination between rough sets and genetic programming. Cybern. Syst. 36 (4) (2005)
Elsayed Radwan, Eiichiro Tazaki
Rough Sets and Genetic Algorithms in Learning Cellular Neural Networks Cloning Template for Decision Making System. Int. J. Neural Syst. 14 (1) (2004)
Yasser Hassan, Eiichiro Tazaki
Emergent Rough Set Data Analysis. Trans. Rough Sets 2 (2004)
Elsayed Radwan, Eiichiro Tazaki
Template learning of cellular neural network using genetic programming. Int. J. Neural Syst. 14 (4) (2004)
Yasser Hassan, Eiichiro Tazaki
Adaptive Behavior in Cellular Automata Using Rough Set Theory. Appl. Artif. Intell. 17 (2) (2003)
Yasser Hassan, Eiichiro Tazaki
Interpretation of Rough Neural Networks as Emergent Model. RSFDGrC (2003)
Yasser Hassan, Eiichiro Tazaki
Emergent Computation Using a New Model of Cellular Automata. Appl. Artif. Intell. 17 (1) (2003)
Yasser Hassan, Eiichiro Tazaki
Induction of Knowledge Using Evolutionary Rough Set Theory. Cybern. Syst. 34 (8) (2003)
Yasser Hassan, Eiichiro Tazaki, Daisuke Yamaguchi
Cellular Automata Model Based on Multiagent Techniques. KES (2003)
Yasser Hassan, Eiichiro Tazaki
Emergent Model Based On Hybrid Rough Sets Systems. Complex Syst. 14 (3) (2003)
Yasser Hassan, Eiichiro Tazaki, Shin Egawa, Kazuho Suyama
Decision Making Using Hybrid Rough Sets and Neural Networks. Int. J. Neural Syst. 12 (6) (2002)
Ayahiko Niimi, Eiichiro Tazaki
Combined Method of Genetic Programming and Association Rule Algorithm. Appl. Artif. Intell. 15 (9) (2001)
Ayahiko Niimi, Eiichiro Tazaki
Extended Genetic Programming Using Apriori Algorithm for Rule Discovery. JSAI Workshops (2001)
Kenneth J. Mackin, Eiichiro Tazaki
Unsupervised training of multiobjective agent communication using genetic programming. KES (2000)
Kenneth J. Mackin, Eiichiro Tazaki
Evolving intelligent multiagent systems using unsupervised agent communication and behavior training. SMC (2000)
Ayahiko Niimi, Eiichiro Tazaki
Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm. Discovery Science (2000)
Toshiyuki Yamashita, Takumi Ichimura, Eiichiro Tazaki, Masahiro Takahashi
Fuzzy reasoning model of facial selection and its applications. KES (2000)
Ayahiko Niimi, Eiichiro Tazaki
Genetic programming combined with association rule algorithm for decision tree construction. KES (2000)
Ayahiko Niimi, Eiichiro Tazaki
Object oriented approach to combined learning of decision tree and ADF GP. IJCNN (1999)
Ayahiko Niimi, Eiichiro Tazaki
Rule Discovery Technique Using GP with Crossover to Maintain Variety. Discovery Science (1999)
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)
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) (1999)
Kenneth J. Mackin, Eiichiro Tazaki
Emergence of group behavior in multiagent systems using self trained agent communication. IJCNN (1999)
Yuji Ouchi, Eiichiro Tazaki
Heuristic approach to topology generation for knowledge-based fuzzy Petri nets. KES (1) (1998)
Noboru Matsumoto, Eiichiro Tazaki
Emergence of learning rule in neural networks using genetic programming combined with decision trees. SMC (1998)
Takumi Ichimura, Noboru Matsumoto, Eiichiro Tazaki, Katsumi Yoshida
Extraction method of rules from reflective neural network architecture. ICNN (1997)
Takumi Ichimura, Eiichiro Tazaki
Applying adaptive structured genetic algorithm to reasoning and learning method for fuzzy rules using neural networks. ICNN (1995)
Eiichiro Tazaki, Michio Amagasa
Heuristic Structure Synthesis in a Class of Systems Using a Fuzzy Automaton. IEEE Trans. Syst. Man Cybern. 9 (2) (1979)
Eiichiro Tazaki, Michio Amagasa
Evaluation Model of Humanistic Systems by Fuzzy Multiple Integral and Fuzzy Correlation. Optimization Techniques (1974)