A method for designing the internal representation of neural networks and its application to network synthesis. - Osamu Fujita (Neural Networks, 1991)

Optimization of the hidden unit function in feedforward neural networks. - Osamu Fujita (Neural Networks, 1992)

Trial-and-error correlation learning. - Osamu Fujita (IEEE Trans. Neural Networks, 1993)

Self-learning neural network LSI with high-resolution non-volatile analog memory. - Takashi Morie; Osamu Fujita; Kuniharu Uchimura (ICNN, 1995)

Statistical estimation of the number of hidden units for feedforward neural networks. - Osamu Fujita (Neural Networks, 1998)

Fine Grained Parallel Processing for Soft Computing. - Osamu Fujita; Koji Jinya (KES (2), 2009)

Flat-topped Probability Density Functions for Mixture Models. - Osamu Fujita (CoRR, 2022)