Search Results - "Tazaki, E"

P231 Phase II study on radiofrequency ablation for early breast cancer patients by Moto, S, Osaka, H, Sakemura, N, Ito, H, Imi, K, Tazaki, E

Get full text

Evolving intelligent multiagent systems using unsupervised agent communication and behavior training by Mackin, K.J., Tazaki, E.

“…Multiagent systems in which independent software agents interact with each other to achieve common goals, complete distributed tasks concurrently under…”
Get full text

Emergence of learning rule in neural networks using genetic programming combined with decision trees by Matsumoto, N., Tazaki, E.

“…In this paper, genetic programming (GP) combined with decision trees is used to evolve the structure and weights for artificial neural network (ANN). The…”
Get full text

Treatment of early breast cancer by lumpectomy plus radiotherapy by Tazaki, E

Get more information

P1-01-11: CD4+CD25highCD127low/− Regulatory T Cells Have Immunosuppressive Function in Patients with Breast Cancer by Sakemura, N, Nakatsugawa, M, Ito, H, Isaka, H, Imi, K, Tazaki, E, Miyamoto, K, Wada, N, Imoto, S, Nakatsura, T

“…CD4+CD25highFoxp3+ regulatory T cells play a central role in self-tolerance and suppress antitumor immune response. Recent studies have shown that low levels…”
Get full text

Search for new learning rules for cellular neural networks using genetic programming by Radwan, E., Tazaki, E.

“…We propose a new technique based upon genetic programming to discover new learning rules for cellular neural networks. We choose genetic programming not only…”
Get full text

Hybrid rough sets/cellular neural networks approach to development of a decision making system by Radwan, E., Tazaki, E.

“…This paper describes a hybrid framework for this kind of switching circuit. In this framework, cellular neural networks (CNN) and rough sets are integrated…”
Get full text

Rule extraction based on rough set theory combined with genetic programming and its application to medical data analysis by Hassan, Y., Tazaki, E.

“…A methodology for using rough sets for preference modeling in decision problems is presented in this paper, where we introduce a new approach for deriving…”
Get full text

Adaptive behavior in cellular automata using rough set theory by Hassan, Y, Tazaki, E

“…The paper uses ideas from machine learning and artificial intelligence to provide the model of cellular automata based on rough set theory and the response to…”
Get full text

Organ specificity of carcinoma originating from stratified epithelium and its treatment (9). 6. Treatment of uterine cancer by Tazaki, E

Get more information

Traffic model based on multi-agent cellular automata technique by Hassan, Y., Baba, N., Tazaki, E.

“…The researchers of AI have responded to these needs with the development of intelligent hybrid systems. This paper describes the modeling language for modular…”
Get full text

Genetic programming combined with association rule algorithm for decision tree construction by Niimi, A., Tazaki, E.

“…Genetic programming (GP) usually has a wide search space and a high flexibility. So, GP may search for a global optimum solution. In general, GP's learning…”
Get full text

Heuristic approach to topology generation for knowledge-based fuzzy Petri nets by Ouchi, Y., Tazaki, E.

“…Using fuzzy Petri nets as expert knowledge representation is very effective for implementing a fuzzy reasoning system. However, these systems cannot generate…”
Get full text

RADIOTHERAPY by TAZAKI, E

Get more information

Unsupervised training of multiobjective agent communication using genetic programming by Mackin, K.J., Tazaki, E.

“…Multiagent systems, in which independent software agents interact with each other to achieve common goals, complete distributed tasks concurrently under…”
Get full text

Applying adaptive structured genetic algorithm to reasoning and learning method for fuzzy rules using neural networks by Ichimura, T., Tazaki, E.

“…In this paper, we present a reasoning and learning method for fuzzy rules using neural networks with an adaptive structured genetic algorithm. This adaptive…”
Get full text

A generation method for fuzzy rules using neural networks with planar lattice architecture by Tazaki, E., Inoue, N.

“…In this paper, the authors first present a method for automated extraction of fuzzy rules using neural networks with a planar lattice architecture. The neural…”
Get full text

Topology generation for knowledge-based fuzzy Petri nets by Ouchi, Y., Tazaki, E.

“…To implement fuzzy reasoning systems fuzzy Petri nets are very effective for the representation of expert knowledge, and then refined using evolutionary…”
Get full text

Fuzzy reasoning model of facial selection and its applications by Yamashita, T., Ichimura, T., Tazaki, E., Takahashi, M.

“…We have been spending more time on interaction with computer systems in the information-oriented society. Human face-to-face interaction consists of both…”
Get full text

Reasoning and learning method for fuzzy rules using neural networks with adaptive structured genetic algorithm by Ichimura, T., Takano, T., Tazaki, E.

“…In this paper, we present a reasoning and learning method for fuzzy rules using neural networks with adaptive structured genetic algorithm. This adaptive…”
Get full text