| 649 | -- | 655 | Osman Kazanci, Bijan Davvaz, Sultan Yamak. Fuzzy ::::n::::-ary hypergroups related to fuzzy points |
| 657 | -- | 665 | Ali Firat Cabalar, Abdulkadir Çevik, Ibrahim H. Güzelbey. Constitutive modeling of Leighton Buzzard Sands using genetic programming |
| 667 | -- | 676 | Honggui Han, Qili Chen, Junfei Qiao. Research on an online self-organizing radial basis function neural network |
| 677 | -- | 689 | Chih-Chou Chiu, Shin-Ying Hwang, Deborah F. Cook, Yuan-Ping Luh. Process disturbance identification through integration of spatiotemporal ICA and CART approach |
| 691 | -- | 700 | Stanislaw Duer. Diagnostic system for the diagnosis of a reparable technical object, with the use of an artificial neural network of RBF type |
| 701 | -- | 712 | Fernando Morgado Dias, Rui Borralho, Pedro Fontes, Ana Antunes. FTSET-a software tool for fault tolerance evaluation and improvement |
| 713 | -- | 723 | Hayri Arabaci, Osman Bilgin. Automatic detection and classification of rotor cage faults in squirrel cage induction motor |
| 725 | -- | 740 | J. Smrekar, D. Pandit, M. Fast, M. Assadi, Sudipta De. Prediction of power output of a coal-fired power plant by artificial neural network |
| 741 | -- | 754 | Manuel Fernández Delgado, M. Reboreda, Eva Cernadas, Senén Barro. A comparison of several neural networks to predict the execution times in injection molding production for automotive industry |
| 755 | -- | 766 | Stanislaw Duer, Radoslaw Duer. Diagnostic system with an artificial neural network which determines a diagnostic information for the servicing of a reparable technical object |
| 767 | -- | 774 | Stanislaw Duer. Investigation of the operation process of a repairable technical object in an expert servicing system with an artificial neural network |
| 775 | -- | 783 | Arsham Borumand Saeid, A. Namdar, Marjan Kuchaki Rafsanjani. Fuzzy ::::n::::-fold ideals in ::::BCH::::-algebras |