Tomoo Aoyama

List of publications from the DBLP Bibliography Server - FAQ

2000

4 Ikuo Yoshihara, Tomoo Aoyama, Moritoshi Yasunaga: A Fast Model-Building Method for Time Series Using Genetic Programming. GECCO 2000: 537

3 EE Tomoo Aoyama, Hanxi Zhu, Ikuo Yoshihara: Forecasting of the Chaos by Iterations Including Multi-Layer Neural-Network. IJCNN (4) 2000: 467-471

1996

2 EE Yoshimi Isu, Umpei Nagashima, Tomoo Aoyama, Haruo Hosoya: Development of Neural Network Simulator for Structure-Activity Correlation of Molecules (NECO). Prediction of Endo/Exo Substitution of Norbornane Derivatives and of Carcinogenic Activity of PAHs from 13C-NMR Shifts. Journal of Chemical Information and Computer Sciences 36(2): 286-293 (1996)

1992

1 EE Tomoo Aoyama, Hiroshi Ichikawa: Neural networks as nonlinear structure-activity relationship analyzers. Useful functions of the partial derivative method in multilayer neural networks. Journal of Chemical Information and Computer Sciences 32(5): 492-500 (1992)

2000
4		Ikuo Yoshihara, Tomoo Aoyama, Moritoshi Yasunaga: A Fast Model-Building Method for Time Series Using Genetic Programming. GECCO 2000: 537
3	EE	Tomoo Aoyama, Hanxi Zhu, Ikuo Yoshihara: Forecasting of the Chaos by Iterations Including Multi-Layer Neural-Network. IJCNN (4) 2000: 467-471
1996
2	EE	Yoshimi Isu, Umpei Nagashima, Tomoo Aoyama, Haruo Hosoya: Development of Neural Network Simulator for Structure-Activity Correlation of Molecules (NECO). Prediction of Endo/Exo Substitution of Norbornane Derivatives and of Carcinogenic Activity of PAHs from 13C-NMR Shifts. Journal of Chemical Information and Computer Sciences 36(2): 286-293 (1996)
1992
1	EE	Tomoo Aoyama, Hiroshi Ichikawa: Neural networks as nonlinear structure-activity relationship analyzers. Useful functions of the partial derivative method in multilayer neural networks. Journal of Chemical Information and Computer Sciences 32(5): 492-500 (1992)

Coauthor Index