Neural networks as nonlinear structure-activity relationship analyzers. Useful functions of the partial derivative method in multilayer neural networks. - Tomoo Aoyama; Hiroshi Ichikawa (J. Chem. Inf. Comput. Sci., 1992)

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. - Yoshimi Isu; Umpei Nagashima; Tomoo Aoyama; Haruo Hosoya (J. Chem. Inf. Comput. Sci., 1996)

GP-based modeling method for time series prediction with parameter optimization and node alternation. - Ikuo Yoshihara; Tomoo Aoyama; Moritoshi Yasunaga (CEC, 2000)

A Fast Model-Building Method for Time Series Using Genetic Programming. - Ikuo Yoshihara; Tomoo Aoyama; Moritoshi Yasunaga (GECCO, 2000)

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

Simulations of construction learning for neuron-computer resources. - Hanxi Zhu; Tomoo Aoyama; Ikuo Yoshihara (Artif. Life Robotics, 2001)